Triple
T11448409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Webb, Alabama |
E271325
|
entity |
| Predicate | isSmallMunicipality |
P22015
|
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: [Town of Webb, Alabama, isSmallMunicipality, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallMunicipality Context triple: [Town of Webb, Alabama, isSmallMunicipality, true]
-
A.
isSmallAreaMunicipality
chosen
Indicates that a municipality is classified as a small-area municipality, typically based on limited geographic size or population.
-
B.
isSmallCity
Indicates that a city has a relatively small population size or limited geographic/urban extent compared to typical cities.
-
C.
isSmallDistrict
Indicates that a district is classified as small, typically based on its limited size, population, or administrative scope.
-
D.
isSmallestLocalGovernmentUnitIn
Indicates that one administrative unit is the smallest (most localized) level of government within the specified larger territorial or political area.
-
E.
isSmallCountyByArea
Indicates that a county is classified as small based on the size of its geographic area.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.