Triple
T37005433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Barfleur |
E915778
|
entity |
| Predicate | tookPartInAction |
P149
|
FINISHED |
| Object | relief of Gibraltar (1782) |
—
|
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: relief of Gibraltar (1782) | Statement: [HMS Barfleur, tookPartInAction, relief of Gibraltar (1782)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookPartInAction Context triple: [HMS Barfleur, tookPartInAction, relief of Gibraltar (1782)]
-
A.
hasBeenInvolvedIn
Indicates that an entity has participated in, taken part in, or been connected to a particular event, activity, or situation.
-
B.
participatedInEvent
chosen
Indicates that an entity took part in or was actively involved in a specific event.
-
C.
involvedAction
Indicates that an entity participates in, performs, or is otherwise engaged in a specified action or activity.
-
D.
battleParticipated
Indicates that an entity took part in a specific battle as a combatant or participant.
-
E.
hasPoliticalActivityIn
Indicates that an entity engages in or is associated with political activities within a specified location or jurisdiction.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.