Triple
T4369456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip II of France |
E98859
|
entity |
| Predicate | dateOfBattleParticipation |
P12233
|
FINISHED |
| Object | 1214-07-27 |
—
|
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: 1214-07-27 | Statement: [Philip II of France, dateOfBattleParticipation, 1214-07-27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfBattleParticipation Context triple: [Philip II of France, dateOfBattleParticipation, 1214-07-27]
-
A.
battledIn
Indicates that two or more entities engaged in a battle or conflict that took place at a specific location or during a particular event.
-
B.
battleOccurredOn
chosen
Indicates that a specific battle took place at or on a particular location or date.
-
C.
warParticipatedIn
Indicates that an entity took part as a combatant or active participant in a specific war or armed conflict.
-
D.
battleDateRelation
Indicates the temporal relationship specifying on which date a particular battle or combat event took place.
-
E.
yearOfBattle
Indicates the specific calendar year in which a particular battle took place.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352052b388190b02cca9a3b480be4 |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:17 p.m.