Triple
T38067027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian conquest of Valencia |
E950495
|
entity |
| Predicate | dateOfCaptureOfCity |
P10180
|
FINISHED |
| Object | 28 September 1238 |
—
|
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: 28 September 1238 | Statement: [Christian conquest of Valencia, dateOfCaptureOfCity, 28 September 1238]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfCaptureOfCity Context triple: [Christian conquest of Valencia, dateOfCaptureOfCity, 28 September 1238]
-
A.
dateOfCityCapture
chosen
Indicates the specific date on which a city was taken or captured, typically in a military or political context.
-
B.
siegeEndDate
Indicates the date on which a siege concluded or was lifted.
-
C.
invasionDate
Indicates the date on which an invasion event occurred or began.
-
D.
dateOfVictory
Indicates the specific calendar date on which a victory or winning outcome occurred.
-
E.
dateOfCityEncirclement
Indicates the date on which a city became fully encircled, typically by military or blockade forces, cutting it off from external access.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: May 3, 2026, 4:21 p.m.