Triple
T30585142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deering, New Hampshire |
E778485
|
entity |
| Predicate | isNewHampshireTown |
P169879
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Deering, New Hampshire, isNewHampshireTown, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNewHampshireTown Context triple: [Deering, New Hampshire, isNewHampshireTown, true]
-
A.
isNewEnglandTown
Indicates that the subject is a town located within the New England region.
-
B.
hasNewTown
Indicates that an entity is associated with, or has established, a newly created town.
-
C.
hasNewTownStatus
Indicates that an entity has been granted or holds the official status of a newly established town.
-
D.
hasNewEnglandTownForm
Indicates that an entity possesses the characteristic municipal structure or governance pattern associated with a traditional New England town.
-
E.
hasTown
Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
- 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689462ab48190b9b3bfff9ef1a5bc |
completed | May 2, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:23 p.m.