Triple
T33946969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leominster–Gardner metropolitan area |
E870315
|
entity |
| Predicate | isSmallMetropolitanArea |
P152130
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Leominster–Gardner metropolitan area, isSmallMetropolitanArea, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallMetropolitanArea Context triple: [Leominster–Gardner metropolitan area, isSmallMetropolitanArea, yes]
-
A.
isSmallMetroArea
chosen
Indicates that a metropolitan area has a relatively small population size or geographic extent compared to typical metro areas.
-
B.
isSmallCity
Indicates that a city has a relatively small population size or limited geographic/urban extent compared to typical cities.
-
C.
isSmallAreaMunicipality
Indicates that a municipality is classified as a small-area municipality, typically based on limited geographic size or population.
-
D.
isSmallLocality
Indicates that a place is a minor or small-scale locality, such as a village, hamlet, or small settlement, rather than a major town or city.
-
E.
isSmallDistrict
Indicates that a district is classified as small, typically based on its limited size, population, or administrative scope.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.