Triple
T1312660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Otumba |
E28028
|
entity |
| Predicate | approximateStrengthSpanishSide |
P2981
|
FINISHED |
| Object | several hundred Spanish 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: several hundred Spanish soldiers | Statement: [Battle of Otumba, approximateStrengthSpanishSide, several hundred Spanish soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateStrengthSpanishSide Context triple: [Battle of Otumba, approximateStrengthSpanishSide, several hundred Spanish soldiers]
-
A.
estimatedStrength
chosen
Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
-
B.
hasSignificantSpanishInfluence
Indicates that one entity has been strongly shaped or notably affected by Spanish culture, language, practices, or presence.
-
C.
hasNameInSpanish
Indicates that an entity is associated with a specific name expressed in the Spanish language.
-
D.
SpanishEditionURL
Indicates the web address where the Spanish-language edition or version of something can be accessed.
-
E.
officialNameInSpanish
Indicates the officially recognized name of an entity when expressed in the Spanish language.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1572b1c8190ab978198c2d655c8 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4beebcb348190964bd7215811942c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.