Triple
T8949950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolores, Guanajuato |
E213319
|
entity |
| Predicate | dateOfHistoricEvent |
P925
|
FINISHED |
| Object | 1810-09-16 |
—
|
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: 1810-09-16 | Statement: [Dolores, Guanajuato, dateOfHistoricEvent, 1810-09-16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfHistoricEvent Context triple: [Dolores, Guanajuato, dateOfHistoricEvent, 1810-09-16]
-
A.
capitalEventDate
Indicates the date on which a capital-related event (such as establishment, designation, or change of capital status) occurred.
-
B.
notableEventDate
chosen
Indicates the date on which a notable or significant event associated with the subject occurred.
-
C.
timeOfEventCommemorated
Indicates the specific time or date at which the event being commemorated originally occurred.
-
D.
hasHistoricalEvent
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
-
E.
dateOfTragedy
Indicates the specific calendar date on which a tragic event occurred.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670b5f50819080f1c73992fe5281 |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:59 p.m.