Triple
T34665615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gelawdewos of Ethiopia |
E890242
|
entity |
| Predicate | roleInBattleOfWaynaDaga |
P202992
|
FINISHED |
| Object | Ethiopian commander |
—
|
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: Ethiopian commander | Statement: [Gelawdewos of Ethiopia, roleInBattleOfWaynaDaga, Ethiopian commander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBattleOfWaynaDaga Context triple: [Gelawdewos of Ethiopia, roleInBattleOfWaynaDaga, Ethiopian commander]
-
A.
roleInBattleOfMuʾtah
Indicates the specific role or involvement an entity had in the Battle of Muʾtah.
-
B.
roleInBattleOfAlHarrah
Indicates the specific role or involvement an entity had in the Battle of al-Harrah.
-
C.
roleInBattleOfMabila
Indicates the specific function, position, or participation an entity had in the Battle of Mabila.
-
D.
roleInBattleOfCúcuta
Indicates the specific role or function an entity had in the Battle of Cúcuta.
-
E.
sideInBattleOfHunayn
Indicates that an entity participated as a side (party or faction) in the Battle of Hunayn.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00d8ba18808190976682088a02a9a8 |
completed | May 10, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_6a00d85fad64819084f424ec8ecd3b57 |
completed | May 10, 2026, 7:11 p.m. |
| PDg | Predicate description generation | batch_6a00d8b8eac08190809c78998e09c47c |
completed | May 10, 2026, 7:12 p.m. |
Created at: May 1, 2026, 2:04 a.m.