Triple
T16792269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concourse E |
E408138
|
entity |
| Predicate | hasGates |
P4365
|
FINISHED |
| Object |
E3
E3 is an airport departure gate located within Concourse E.
|
E1233649
|
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: E3 | Statement: [Concourse E, hasGates, E3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E3 Context triple: [Concourse E, hasGates, E3]
-
A.
Global E3
Global E3 is an international consortium that facilitates engineering student exchanges and study-abroad opportunities among universities worldwide.
-
B.
Electronic Entertainment Expo
The Electronic Entertainment Expo (E3) is a major annual trade event where video game publishers, developers, and hardware manufacturers showcase upcoming games and gaming technologies to industry professionals and media.
-
C.
TGS
TGS is the fictional sketch comedy show within the television series "30 Rock," serving as the workplace backdrop for the main characters.
-
D.
TGS
TGS is the central administrative and academic unit overseeing graduate education and research programs at Northwestern University.
-
E.
Tokyo Game Show
Tokyo Game Show is one of the world’s largest annual video game expos held in Japan, showcasing upcoming titles, hardware, and industry developments from major and independent developers.
- 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: E3 Triple: [Concourse E, hasGates, E3]
Generated description
E3 is an airport departure gate located within Concourse E.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E3 Target entity description: E3 is an airport departure gate located within Concourse E.
-
A.
Global E3
Global E3 is an international consortium that facilitates engineering student exchanges and study-abroad opportunities among universities worldwide.
-
B.
Electronic Entertainment Expo
The Electronic Entertainment Expo (E3) is a major annual trade event where video game publishers, developers, and hardware manufacturers showcase upcoming games and gaming technologies to industry professionals and media.
-
C.
TGS
TGS is the fictional sketch comedy show within the television series "30 Rock," serving as the workplace backdrop for the main characters.
-
D.
TGS
TGS is the central administrative and academic unit overseeing graduate education and research programs at Northwestern University.
-
E.
Tokyo Game Show
Tokyo Game Show is one of the world’s largest annual video game expos held in Japan, showcasing upcoming titles, hardware, and industry developments from major and independent developers.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a6c9888190b3f8f625b299574d |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 |
completed | May 10, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_6a00ac1d18c08190969108e567d6eced |
completed | May 10, 2026, 4:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00acc3a9dc819087e07e539760bf34 |
completed | May 10, 2026, 4:05 p.m. |
Created at: April 10, 2026, 5:22 a.m.