Triple
T12010437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Kut |
E285889
|
entity |
| Predicate | prisonersTakenByOttomans |
P102643
|
FINISHED |
| Object | thousands of British and Indian soldiers |
—
|
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: thousands of British and Indian soldiers | Statement: [Battle of Kut, prisonersTakenByOttomans, thousands of British and Indian soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonersTakenByOttomans Context triple: [Battle of Kut, prisonersTakenByOttomans, thousands of British and Indian soldiers]
-
A.
AustrianPrisonersTakenApproximate
Indicates that an approximate number of Austrian prisoners were taken or captured in a given context or event.
-
B.
numberOfPrisonersKilledDuringSeptemberMassacres
Indicates the count of prisoners who were killed during the September Massacres.
-
C.
prisonerOf
Indicates that one entity is held in custody or confinement by another entity, typically under legal or authoritative control.
-
D.
estimatedPrisonersKilled
Indicates the estimated number of prisoners who were killed in a given context or event.
-
E.
outcomeForOttomans
Indicates the result or consequence experienced by the Ottoman side in a given event, action, or situation.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d7777481908cd5a001f75e2ee3 |
completed | April 10, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d9038e39f881908c58c19802ba2eb0 |
completed | April 10, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:46 p.m.