Triple
T13599278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddystone Rocks |
E324900
|
entity |
| Predicate | secondLighthouseDestroyedIn |
P76758
|
FINISHED |
| Object | 1755 fire |
—
|
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: 1755 fire | Statement: [Eddystone Rocks, secondLighthouseDestroyedIn, 1755 fire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondLighthouseDestroyedIn Context triple: [Eddystone Rocks, secondLighthouseDestroyedIn, 1755 fire]
-
A.
secondBuildingDestroyedBy
Indicates that the second building in a specified context is the one that was destroyed by a particular agent or event.
-
B.
secondBuildingDateOfDestruction
chosen
Indicates the date on which a building was destroyed for the second time.
-
C.
secondPalaceDestroyedBy
Indicates that the second palace associated with an entity was destroyed by another specified agent or cause.
-
D.
secondShip
Indicates that one entity is the second ship in an ordered sequence or ranking relative to another entity.
-
E.
secondBoat
Indicates that one entity is the second boat in a sequence or relative ordering with respect to another boat.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0795acc8190a08667ab9dcb0d44 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.