Triple
T35257075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phimai Historical Park |
E1018259
|
entity |
| Predicate | hasMoatShape |
P198743
|
FINISHED |
| Object | rectangular layout |
—
|
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: rectangular layout | Statement: [Phimai Historical Park, hasMoatShape, rectangular layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMoatShape Context triple: [Phimai Historical Park, hasMoatShape, rectangular layout]
-
A.
hasMoat
Indicates that one entity is surrounded or protected by a moat associated with another entity.
-
B.
moatType
Indicates the specific kind or classification of moat that characterizes the defensive barrier associated with an entity.
-
C.
moatWidth
Indicates the measured width of a moat surrounding or adjacent to a structure or area.
-
D.
moatsFedBy
Indicates that a moat receives its water supply from a specified source.
-
E.
hasNumberOfMoats
Indicates the quantity of moats that are associated with or surround a given entity.
- F. None of above. chosen
Provenance (4 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
| PDg | Predicate description generation | batch_69ff02141dbc8190b00bcea2aa734b3a |
completed | May 9, 2026, 9:44 a.m. |
Created at: May 3, 2026, 4:02 p.m.