Triple
T2774688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester W. Nimitz |
E61539
|
entity |
| Predicate | hasPartInMotive |
P15083
|
FINISHED |
| Object | island-hopping strategy in the Pacific theater |
—
|
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: island-hopping strategy in the Pacific theater | Statement: [Chester W. Nimitz, hasPartInMotive, island-hopping strategy in the Pacific theater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInMotive Context triple: [Chester W. Nimitz, hasPartInMotive, island-hopping strategy in the Pacific theater]
-
A.
hasMotiveElement
chosen
Indicates that one entity includes, specifies, or is characterized by a particular motive-related component or factor in a broader relationship or action.
-
B.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
C.
motive
Indicates the underlying reason, intention, or driving force that explains why an entity performs or is associated with a particular action or event.
-
D.
hasPartInMotto
Indicates that something is included as a component or element within a motto.
-
E.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfed608819080988e93df7bdf7c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.