Triple
T898952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Committee of translators appointed by King James I |
E19404
|
entity |
| Predicate | companyLocation |
P40
|
FINISHED |
| Object | two companies at Westminster |
—
|
LITERAL FINISHED |
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: two companies at Westminster | Statement: [Committee of translators appointed by King James I, companyLocation, two companies at Westminster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companyLocation Context triple: [Committee of translators appointed by King James I, companyLocation, two companies at Westminster]
-
A.
recruitmentLocation
Indicates the place or geographic area where the recruitment or hiring of individuals occurs.
-
B.
agencyLocatedIn
Indicates that an agency is situated or based within a specific geographic or administrative location.
-
C.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
D.
employerHeadquarters
Indicates the location where an employer’s main corporate offices or central administrative operations are based.
-
E.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
- F. None of above.
Provenance (3 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad4162848190aa2787b2fa3e6575 |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa979d408190b17ccfde132ea628 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.