Triple
T30699521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tacubaya |
E781572
|
entity |
| Predicate | commanderSideConservative |
P127872
|
FINISHED |
| Object | Miguel Miramón |
—
|
NE NERFINISHED |
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: Miguel Miramón | Statement: [Battle of Tacubaya, commanderSideConservative, Miguel Miramón]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commanderSideConservative Context triple: [Battle of Tacubaya, commanderSideConservative, Miguel Miramón]
-
A.
commanderOfUnionRightWing
Indicates that one entity served as the commanding officer of the Union army’s right wing in a specific military context.
-
B.
commandersSide
Indicates that one entity is on the same side, faction, or team as the commander in a conflict or competitive context.
-
C.
overallCommanderSide
Indicates that one entity serves as the primary commanding side or overarching leadership faction in relation to another entity within a conflict or organizational structure.
-
D.
RepublicanCommander
chosen
Indicates that an individual serves as a military commander for the Republican side in a conflict.
-
E.
hasConservativeFaction
Indicates that an entity includes or is associated with a subgroup characterized by conservative views or positions.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 29, 2026, 8:34 p.m.