Triple
T29485788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibiritá Municipality |
E747916
|
entity |
| Predicate | isSmallLocality |
P166963
|
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: [Tibiritá Municipality, isSmallLocality, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallLocality Context triple: [Tibiritá Municipality, isSmallLocality, true]
-
A.
isSmallCity
Indicates that a city has a relatively small population size or limited geographic/urban extent compared to typical cities.
-
B.
isSmallMetroArea
Indicates that a metropolitan area has a relatively small population size or geographic extent compared to typical metro areas.
-
C.
isSmallDistrict
Indicates that a district is classified as small, typically based on its limited size, population, or administrative scope.
-
D.
isSmallBorough
Indicates that a given borough is classified as small in size, population, or administrative significance relative to other boroughs.
-
E.
isSmallAreaMunicipality
Indicates that a municipality is classified as a small-area municipality, typically based on limited geographic size or population.
- 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_69f0bd43ba30819095eb1cfc3adf525c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c05947c8190b34739a0a7c0201f |
completed | May 2, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:08 p.m.