Triple
T607834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobutake Kondō |
E12031
|
entity |
| Predicate | strategicPartnerForces |
P17047
|
FINISHED |
| Object | Japanese carrier strike 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: Japanese carrier strike forces | Statement: [Nobutake Kondō, strategicPartnerForces, Japanese carrier strike forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strategicPartnerForces Context triple: [Nobutake Kondō, strategicPartnerForces, Japanese carrier strike forces]
-
A.
combatantStrength
Indicates the relative level of power, capability, or effectiveness one combatant has in a conflict or confrontation compared to others.
-
B.
typeOfTroops
Indicates the specific category or kind of military forces involved in or associated with an entity or event.
-
C.
suppliedTroopsTo
Indicates that one entity provided military personnel or forces to another entity.
-
D.
coalitionPartnerWith
Indicates that two entities are formally aligned in a cooperative coalition, sharing goals or actions as partners within that coalition.
-
E.
notableForce
Indicates that an entity is recognized as a significant or influential force affecting another entity, system, or context.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49def31ec81909dc53e70f4a36eda |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.