Triple
T4428507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Tristan da Cunha |
E95266
|
entity |
| Predicate | coatOfArmsApprovalYear |
P55940
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Flag of Tristan da Cunha, coatOfArmsApprovalYear, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatOfArmsApprovalYear Context triple: [Flag of Tristan da Cunha, coatOfArmsApprovalYear, 2002]
-
A.
coatOfArmsUsedUntil
Indicates the time or date up to which a particular coat of arms was in official or customary use.
-
B.
replacedOnCoatOfArmsBy
Indicates that one element or symbol on a coat of arms has been superseded and taken the place of by another element or symbol.
-
C.
coatOfArmsStartUse
Indicates the point in time when a particular coat of arms first began to be used or officially adopted.
-
D.
coatOfArms
Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
-
E.
coatOfArmsCaption
Indicates the descriptive text that explains or labels the depicted coat of arms.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35568767c819084d5e18b56a4745e |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:30 p.m.