Triple
T8980512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Alligator Creek |
E214511
|
entity |
| Predicate | objectiveJapan |
P19747
|
FINISHED |
| Object | destroy U.S. forces around Henderson Field |
—
|
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: destroy U.S. forces around Henderson Field | Statement: [Battle of Alligator Creek, objectiveJapan, destroy U.S. forces around Henderson Field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: objectiveJapan Context triple: [Battle of Alligator Creek, objectiveJapan, destroy U.S. forces around Henderson Field]
-
A.
objectiveOfJapaneseForces
chosen
Indicates that a specified target, goal, or aim is the military objective pursued by Japanese forces.
-
B.
JapaneseAdvantage
Indicates that one party holds a comparative advantage or superior position specifically in a Japanese context (e.g., language, market, culture, or environment) relative to another.
-
C.
returnedToJapan
Indicates that an entity went back to Japan after having been away.
-
D.
japaneseVariant
Indicates that one entity is a Japanese-language or Japan-specific variant or version of another entity.
-
E.
releaseDateJapan
Indicates the date on which something is officially released or made available in Japan.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a615b081909b88e761be879802 |
completed | April 1, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:03 p.m.