Triple
T4680871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hailey |
E103796
|
entity |
| Predicate | isSmallSettlement |
P17862
|
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: [Hailey, isSmallSettlement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallSettlement Context triple: [Hailey, isSmallSettlement, true]
-
A.
isSmallCity
chosen
Indicates that a city has a relatively small population size or limited geographic/urban extent compared to typical cities.
-
B.
isRuralSettlement
Indicates that a settlement is located in a rural area, typically characterized by low population density and limited urban infrastructure.
-
C.
isInlandSettlement
Indicates that a settlement is located away from the coast, without direct access to the sea or ocean.
-
D.
isSmallAreaMunicipality
Indicates that a municipality is classified as a small-area municipality, typically based on limited geographic size or population.
-
E.
isLocatedInSettlement
Indicates that an entity is situated within or belongs to a specific human settlement, such as a town, village, or city.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.