Triple
T21495894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States (during Revolutionary War) |
E530351
|
entity |
| Predicate | hasConstituentEntity |
P131260
|
FINISHED |
| Object | New Hampshire |
—
|
NE NERFINISHED |
How this triple was built (3 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: New Hampshire | Statement: [United States (during Revolutionary War), hasConstituentEntity, New Hampshire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Hampshire Context triple: [United States (during Revolutionary War), hasConstituentEntity, New Hampshire]
-
A.
New Hampshire
chosen
New Hampshire is a small New England state in the northeastern United States known for its mountainous landscapes, early presidential primary, and “Live Free or Die” motto.
-
B.
Freedom, New Hampshire
Freedom, New Hampshire is a small rural town in eastern New Hampshire known for its scenic lakes, forests, and traditional New England character.
-
C.
Washington, New Hampshire
Washington, New Hampshire is a small rural town in western New Hampshire known for its scenic landscapes, historic character, and outdoor recreation opportunities.
-
D.
New Hampshire and Maine
New Hampshire and Maine are neighboring New England states in the northeastern United States, known for their rugged coastlines, forested landscapes, and historic colonial towns.
-
E.
Jefferson, New Hampshire
Jefferson, New Hampshire is a small rural town in Coös County known for its scenic White Mountains views and outdoor recreation opportunities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConstituentEntity Context triple: [United States (during Revolutionary War), hasConstituentEntity, New Hampshire]
-
A.
hasPrimaryConstituent
Indicates that one entity serves as the main or principal component, ingredient, or element of another entity.
-
B.
hasConstituentUnion
Indicates that an entity (such as a larger organization or federation) is composed of, or formally includes, a specific trade union as one of its constituent members.
-
C.
hasNonConstituentMember
Indicates that an entity includes a member or component that is not formally recognized as a constituent part of it.
-
D.
usesConstituentsFrom
Indicates that one entity is composed of, incorporates, or is derived from specific constituent parts provided by another entity.
-
E.
hasEntity
chosen
Indicates that one entity includes, contains, or is associated with another entity as part of its composition or context.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea582d9c8190b95ff6e1b8179b81 |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:23 p.m.