Triple
T37844867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirkani |
E943573
|
entity |
| Predicate | reasonForNightDescent |
P154949
|
FINISHED |
| Object | fort gates were closed at sunset |
—
|
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: fort gates were closed at sunset | Statement: [Hirkani, reasonForNightDescent, fort gates were closed at sunset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForNightDescent Context triple: [Hirkani, reasonForNightDescent, fort gates were closed at sunset]
-
A.
purposeOfDescent
chosen
Indicates the reason or intended objective motivating an entity’s act of descending.
-
B.
reasonForEndOfMission
Indicates the cause or circumstance that led to the termination or conclusion of a mission.
-
C.
reasonForLoweredCockpit
Indicates that one entity serves as the cause or justification for why a cockpit has been lowered.
-
D.
reasonForScuttling
Indicates the specific cause or motivation that led to a vessel being deliberately scuttled.
-
E.
missionRationale
Indicates the underlying purpose, justification, or intended reason for undertaking a particular mission or operation.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.