Triple
T30884328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Shaykan |
E786716
|
entity |
| Predicate | casualtiesMahdistSide |
P172191
|
FINISHED |
| Object | significantly lower than Egyptian 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: significantly lower than Egyptian casualties | Statement: [Battle of Shaykan, casualtiesMahdistSide, significantly lower than Egyptian casualties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: casualtiesMahdistSide Context triple: [Battle of Shaykan, casualtiesMahdistSide, significantly lower than Egyptian casualties]
-
A.
casualtiesKharijites
Indicates that there were casualties suffered by the Kharijites in a given event or context.
-
B.
casualtiesEgyptianSide
Indicates the number of people killed or injured who belong to, or are counted as part of, the Egyptian side in a conflict or incident.
-
C.
casualtiesLibya
Indicates the occurrence or count of people killed or injured in events taking place in Libya.
-
D.
militaryCasualtiesSide
Indicates the side or party in a conflict to which the recorded military casualties belong.
-
E.
militantCasualtiesEstimate
Indicates an estimated number of militants who have been killed, wounded, or otherwise rendered casualties in a conflict or operation.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 29, 2026, 8:48 p.m.