Triple
T832174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luddenden Foot |
E17988
|
entity |
| Predicate | hasPublicHouse |
P20132
|
FINISHED |
| Object |
The Globe
The Globe is a traditional English pub serving as a local social hub in the village of Luddenden Foot in West Yorkshire.
|
E102020
|
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: The Globe | Statement: [Luddenden Foot, hasPublicHouse, The Globe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Globe Context triple: [Luddenden Foot, hasPublicHouse, The Globe]
-
A.
The Globe
The Globe is a major American daily newspaper based in Boston, widely recognized for its influential journalism and multiple Pulitzer Prize–winning investigations.
-
B.
Barbican
The Barbican is Plymouth’s historic harbourside district, known for its cobbled streets, preserved Elizabethan architecture, and vibrant waterfront pubs and galleries.
-
C.
Barbican
The Barbican in Kraków is a well-preserved medieval fortified outpost and gateway that once formed part of the city’s defensive walls.
-
D.
Lord Mayor’s Parlour
The Lord Mayor’s Parlour is the ceremonial office and reception room used by the Lord Mayor within Manchester Town Hall.
-
E.
White Hall
White Hall is a grand ceremonial room within the Livadia Palace, historically used for important receptions and diplomatic events.
- 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: The Globe Triple: [Luddenden Foot, hasPublicHouse, The Globe]
Generated description
The Globe is a traditional English pub serving as a local social hub in the village of Luddenden Foot in West Yorkshire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Globe Target entity description: The Globe is a traditional English pub serving as a local social hub in the village of Luddenden Foot in West Yorkshire.
-
A.
The Globe
The Globe is a major American daily newspaper based in Boston, widely recognized for its influential journalism and multiple Pulitzer Prize–winning investigations.
-
B.
Barbican
The Barbican is Plymouth’s historic harbourside district, known for its cobbled streets, preserved Elizabethan architecture, and vibrant waterfront pubs and galleries.
-
C.
Barbican
The Barbican in Kraków is a well-preserved medieval fortified outpost and gateway that once formed part of the city’s defensive walls.
-
D.
Lord Mayor’s Parlour
The Lord Mayor’s Parlour is the ceremonial office and reception room used by the Lord Mayor within Manchester Town Hall.
-
E.
White Hall
White Hall is a grand ceremonial room within the Livadia Palace, historically used for important receptions and diplomatic events.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b503d48190bd4f33548a22d5fe |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3b6f0a0819086f8789773f8251e |
completed | March 4, 2026, 3:15 a.m. |
| NEDg | Description generation | batch_69a7a51e0420819092f792ce0b5e69d3 |
completed | March 4, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7a5b041848190bfa91737c71c217c |
completed | March 4, 2026, 3:23 a.m. |
Created at: March 1, 2026, 7:38 p.m.