Triple
T37067092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wat Khemaphirataram |
E917475
|
entity |
| Predicate | provinceCapitalTemple |
P198003
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Wat Khemaphirataram, provinceCapitalTemple, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provinceCapitalTemple Context triple: [Wat Khemaphirataram, provinceCapitalTemple, yes]
-
A.
capitalCityBuildingOf
Indicates that a building is located in and associated with the capital city of a given political or administrative entity.
-
B.
cityOfMainTemple
Indicates that a given city is the location where a particular temple’s main or principal sanctuary is situated.
-
C.
destinationCapitalOf
Indicates that a location serves as the capital city of the specified destination or region.
-
D.
zoneCapital
Indicates that a given city or settlement serves as the capital of a specified administrative zone or region.
-
E.
regionCapital
Indicates that one entity is the capital city or administrative center of a specified region.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
| PDg | Predicate description generation | batch_69fec00e5c1c819083d174bb4bc35f29 |
completed | May 9, 2026, 5:03 a.m. |
Created at: May 3, 2026, 4:14 p.m.