Triple
T25222362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayutthaya Historical Park |
E631997
|
entity |
| Predicate | startTimeOfAssociatedKingdom |
P1506
|
FINISHED |
| Object | 1350 |
—
|
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: 1350 | Statement: [Ayutthaya Historical Park, startTimeOfAssociatedKingdom, 1350]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfAssociatedKingdom Context triple: [Ayutthaya Historical Park, startTimeOfAssociatedKingdom, 1350]
-
A.
startTimeAsKing
Indicates the point in time at which an individual begins their reign or role as king.
-
B.
reignStart
chosen
Indicates the date or point in time when an entity’s period of ruling or governing authority begins.
-
C.
foundedKingdom
Indicates that an entity established or created a kingdom as its founder.
-
D.
associatedWithHistoricalFigureReignStart
Indicates a relationship where something is linked to the beginning of a specific historical figure’s reign.
-
E.
earliestKingdom
Indicates that one kingdom is the chronologically first or oldest among a specified set of kingdoms.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 21, 2026, 1:03 p.m.