Triple
T35755649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagi |
E1033438
|
entity |
| Predicate | hasCoordinateApproximation |
P10760
|
FINISHED |
| Object | 23.48°N 120.44°E |
—
|
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: 23.48°N 120.44°E | Statement: [Kagi, hasCoordinateApproximation, 23.48°N 120.44°E]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoordinateApproximation Context triple: [Kagi, hasCoordinateApproximation, 23.48°N 120.44°E]
-
A.
hasApproximateCoordinates
chosen
Indicates that an entity is associated with location coordinates that are estimated or imprecise rather than exact.
-
B.
hasCoordinatePrecision
Indicates the degree of exactness or granularity with which an entity’s spatial coordinates are specified.
-
C.
hasCoordinates
Indicates that an entity is associated with specific spatial coordinates that define its position in a given reference system.
-
D.
hasApproximateLocation
Indicates that an entity is associated with a location that is known only imprecisely or within a general area rather than an exact position.
-
E.
hasApproximateOrigin
Indicates that an entity originates from a source or location that is known only approximately rather than precisely.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.