Triple
T33004068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worshipful Company of Engineers |
E844445
|
entity |
| Predicate | gainedLiveryStatus |
P175899
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [Worshipful Company of Engineers, gainedLiveryStatus, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedLiveryStatus Context triple: [Worshipful Company of Engineers, gainedLiveryStatus, 1989]
-
A.
yearGainedLiveryStatus
chosen
Indicates the specific year in which an entity obtained or was granted livery status.
-
B.
gainedStatus
Indicates that an entity has acquired or achieved a particular status, condition, or role as a result of some event or process.
-
C.
acquiredStatusOf
Indicates that one entity has obtained, taken over, or assumed the status or condition previously held by another entity.
-
D.
statusAcquiredBy
Indicates that a particular status or condition has been obtained or gained by a specific entity.
-
E.
awardedStatus
Indicates that a particular status, honor, or designation has been formally granted to an 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:23 a.m.