Triple
T34517786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Puente de Calderón |
E886199
|
entity |
| Predicate | casualtiesAndLossesInsurgents |
P137506
|
FINISHED |
| Object | heavy casualties |
—
|
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: heavy casualties | Statement: [Battle of Puente de Calderón, casualtiesAndLossesInsurgents, heavy casualties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: casualtiesAndLossesInsurgents Context triple: [Battle of Puente de Calderón, casualtiesAndLossesInsurgents, heavy casualties]
-
A.
insurgentCasualties
chosen
Indicates the number of insurgents who were killed, wounded, or otherwise rendered casualties in a given event or context.
-
B.
casualtiesKharijites
Indicates that there were casualties suffered by the Kharijites in a given event or context.
-
C.
militantCasualtiesEstimate
Indicates an estimated number of militants who have been killed, wounded, or otherwise rendered casualties in a conflict or operation.
-
D.
alQaedaCasualties
Indicates that the relationship specifies the number or occurrence of casualties suffered by al-Qaeda members or forces in a given event or context.
-
E.
AfghanCasualties
Indicates the number or occurrence of casualties suffered by Afghan individuals or forces in a given event or context.
- 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_69f349ccc290819089d8e82698e53cb6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:01 a.m.