Triple
T5337813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontefract Castle |
E123868
|
entity |
| Predicate | numberOfSiegesDuringEnglishCivilWar |
P62919
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Pontefract Castle, numberOfSiegesDuringEnglishCivilWar, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSiegesDuringEnglishCivilWar Context triple: [Pontefract Castle, numberOfSiegesDuringEnglishCivilWar, 3]
-
A.
hasMajorSiege
Indicates that a significant or large-scale siege event occurred involving the related entities.
-
B.
isSiegeOf
Indicates a relationship where one event or action constitutes the military siege of a particular place, target, or entity.
-
C.
siegeDuration
Indicates the length of time that a siege persists from its beginning to its end.
-
D.
besiegedIn
Indicates that one entity is under siege at, or during the event of, another specified location or time.
-
E.
battleOccurredOn
Indicates that a specific battle took place at or on a particular location or date.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85c6ec008190ad7a8a54360387d8 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd84583dbc819088a03e3afb30178c |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8501d53c81908371bd5195ba5703 |
completed | March 20, 2026, 5:33 p.m. |
Created at: March 20, 2026, 2 p.m.