Triple
T5809306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Na San |
E128825
|
entity |
| Predicate | yearInConflict |
P66456
|
FINISHED |
| Object | mid-war phase of First Indochina War |
—
|
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: mid-war phase of First Indochina War | Statement: [Battle of Na San, yearInConflict, mid-war phase of First Indochina War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearInConflict Context triple: [Battle of Na San, yearInConflict, mid-war phase of First Indochina War]
-
A.
conflictBeganInYear
Indicates that the specified conflict started or first broke out in the given calendar year.
-
B.
conflictEndYear
Indicates the calendar year in which a particular conflict, dispute, or war came to an end.
-
C.
majorConflictYear
Indicates the year in which a major conflict, such as a war or large-scale violent confrontation, took place or reached a defining point.
-
D.
yearOfBattle
Indicates the specific calendar year in which a particular battle took place.
-
E.
beganDuringConflict
Indicates that the action or relationship started while a specified conflict was ongoing.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1867a481909a7ea3331dbb04ce |
completed | March 22, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028ffe180819099e084fe557e789c |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:52 p.m.