Triple
T35724869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samko District |
E1032580
|
entity |
| Predicate | hasGeocodeSystem |
P130515
|
FINISHED |
| Object | Thai administrative geocode |
—
|
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: Thai administrative geocode | Statement: [Samko District, hasGeocodeSystem, Thai administrative geocode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeocodeSystem Context triple: [Samko District, hasGeocodeSystem, Thai administrative geocode]
-
A.
hasGeographicalCoordinateSystem
chosen
Indicates that something uses or is defined within a specific geographical coordinate system for locating positions on the Earth’s surface.
-
B.
hasGeocode
Indicates that an entity is associated with a specific geographic coordinate or coded location reference.
-
C.
isGeographicCode
Indicates that one entity functions as a geographic code that identifies or represents the location of another entity.
-
D.
geocodeType
Indicates the classification of a geocoded location based on how it was derived or the type of geographic reference it represents (e.g., point, address, area).
-
E.
hasGeoPort
Indicates that an entity is equipped with or connected to a geographic port or port-related interface.
- 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: May 3, 2026, 4:05 p.m.