Triple
T9195482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Lake |
E220694
|
entity |
| Predicate | isLikelyLocatedIn |
P28981
|
FINISHED |
| Object | local recreational area |
—
|
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: local recreational area | Statement: [Long Lake, isLikelyLocatedIn, local recreational area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLikelyLocatedIn Context triple: [Long Lake, isLikelyLocatedIn, local recreational area]
-
A.
sometimesLocatedIn
Indicates that an entity is located in a given place only at certain times or under certain conditions, rather than permanently or always.
-
B.
possibleLocation
chosen
Indicates that an entity may be located at, or could plausibly occur in, a specified place or spatial context.
-
C.
likelyRegion
Indicates that an entity is probably located in, associated with, or originates from a particular geographic region.
-
D.
isLocatedInAdministrativeArea
Indicates that one entity is situated within the geographic or jurisdictional boundaries of a specified administrative area (such as a city, county, state, or region).
-
E.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87c3a3c8190b60f19873ef6e1f8 |
completed | April 1, 2026, 8:34 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:25 p.m.