Triple
T27493886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mengrai |
E693968
|
entity |
| Predicate | monumentLocatedIn |
P96634
|
FINISHED |
| Object | Chiang Rai |
—
|
NE NERFINISHED |
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: Chiang Rai | Statement: [Mengrai, monumentLocatedIn, Chiang Rai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monumentLocatedIn Context triple: [Mengrai, monumentLocatedIn, Chiang Rai]
-
A.
monumentsLocation
chosen
Indicates the geographical place where a monument is situated or located.
-
B.
hasMonumentInCenter
Indicates that a place or area has a monument located at its central point or main focal area.
-
C.
monumentGroup
Indicates that one monument belongs to, or is categorized within, a specific group or collection of monuments.
-
D.
restingPlaceOf
Indicates the location where an entity is laid to rest, stored, or kept, typically as its final or usual resting location.
-
E.
famousArtworkLocatedIn
Indicates that a specific famous artwork is physically situated or displayed within a particular location or venue.
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62e8bdb9c81909ec001884084e075 |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:07 p.m.