Triple
T689145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Fourth Army |
E13351
|
entity |
| Predicate | resultOfNotableEvent |
P1706
|
FINISHED |
| Object | severe losses inflicted by Nationalist forces |
—
|
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: severe losses inflicted by Nationalist forces | Statement: [New Fourth Army, resultOfNotableEvent, severe losses inflicted by Nationalist forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultOfNotableEvent Context triple: [New Fourth Army, resultOfNotableEvent, severe losses inflicted by Nationalist forces]
-
A.
notableEventCoverage
Indicates that there is media or documented coverage specifically focused on a notable event related to the subject.
-
B.
notableOutcome
chosen
Indicates that an action, event, or entity leads to or is associated with a significant, noteworthy result or consequence.
-
C.
significantEvent
Indicates that an event involving the entities is of notable importance or impact within a given context.
-
D.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
-
E.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0f55f7481909e052a25bd12d455 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d2048d48190ab99ab59accb6909 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.