Triple
T14319970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Convention Centre Birmingham |
E355057
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Hall 9
Hall 9 is one of the exhibition and event halls within the International Convention Centre in Birmingham, used for conferences, trade shows, and large-scale gatherings.
|
E1093327
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hall 9 | Statement: [International Convention Centre Birmingham, hasPart, Hall 9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hall 9 Context triple: [International Convention Centre Birmingham, hasPart, Hall 9]
-
A.
Hall 9
Hall 9 is an exhibition and event hall within the AsiaWorld-Expo complex in Hong Kong, used for trade shows, concerts, and large-scale gatherings.
-
B.
Hall 8
Hall 8 is one of the exhibition and event halls within the AsiaWorld-Expo convention and entertainment complex in Hong Kong.
-
C.
Hall 5
Hall 5 is one of the exhibition and event halls within the AsiaWorld-Expo convention and entertainment complex in Hong Kong.
-
D.
Hall 7
Hall 7 is one of the exhibition and event halls within the AsiaWorld-Expo convention and exhibition center in Hong Kong.
-
E.
Hall H
Hall H is the massive, high-profile main presentation hall at San Diego Comic-Con, famed for hosting the convention’s biggest and most anticipated panels and premieres.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hall 9 Triple: [International Convention Centre Birmingham, hasPart, Hall 9]
Generated description
Hall 9 is one of the exhibition and event halls within the International Convention Centre in Birmingham, used for conferences, trade shows, and large-scale gatherings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hall 9 Target entity description: Hall 9 is one of the exhibition and event halls within the International Convention Centre in Birmingham, used for conferences, trade shows, and large-scale gatherings.
-
A.
Hall 9
Hall 9 is an exhibition and event hall within the AsiaWorld-Expo complex in Hong Kong, used for trade shows, concerts, and large-scale gatherings.
-
B.
Hall 8
Hall 8 is one of the exhibition and event halls within the AsiaWorld-Expo convention and entertainment complex in Hong Kong.
-
C.
Hall 5
Hall 5 is one of the exhibition and event halls within the AsiaWorld-Expo convention and entertainment complex in Hong Kong.
-
D.
Hall 7
Hall 7 is one of the exhibition and event halls within the AsiaWorld-Expo convention and exhibition center in Hong Kong.
-
E.
Hall H
Hall H is the massive, high-profile main presentation hall at San Diego Comic-Con, famed for hosting the convention’s biggest and most anticipated panels and premieres.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883bf71c8190a9a092a025cf98f0 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd468c4a7c8190951adb28e1d71365 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd478e6644819080692fbca8ec6c80 |
completed | May 8, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4851528c81909855c0f8484c278e |
completed | May 8, 2026, 2:20 a.m. |
Created at: April 10, 2026, 1:13 a.m.