Triple
T33451672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worshipful Company of Carpenters |
E856657
|
entity |
| Predicate | hallCountry |
P177034
|
FINISHED |
| Object | United Kingdom |
—
|
NE NERFINISHED |
How this triple was built (2 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: United Kingdom | Statement: [Worshipful Company of Carpenters, hallCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hallCountry Context triple: [Worshipful Company of Carpenters, hallCountry, United Kingdom]
-
A.
generalHouseCountry
Indicates that a house or legislative body is associated with, belongs to, or operates within a particular country.
-
B.
hasCountryHouse
Indicates that one entity possesses or owns a house located in the countryside.
-
C.
housedInCountry
Indicates that an entity is located, based, or situated within the boundaries of a specified country.
-
D.
homeCountryBoard
Indicates that an entity serves on the board of directors in the entity’s own home country.
-
E.
chairCountry
Indicates that an entity serves as the chair or presiding authority for a specified country.
- F. None of above. chosen
Provenance (4 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:37 a.m.