Triple
T6016441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goliad Campaign |
E133960
|
entity |
| Predicate | strategicObjectiveMexican |
P42533
|
FINISHED |
| Object | reassert Mexican control over Texas |
—
|
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: reassert Mexican control over Texas | Statement: [Goliad Campaign, strategicObjectiveMexican, reassert Mexican control over Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strategicObjectiveMexican Context triple: [Goliad Campaign, strategicObjectiveMexican, reassert Mexican control over Texas]
-
A.
MexicanObjective
chosen
Indicates that an entity has an objective, goal, or target specifically related to Mexico or Mexican affairs.
-
B.
strategicObjectiveSpain
Indicates that an entity has a strategic objective specifically related to Spain.
-
C.
strategicGoal
Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
-
D.
strengthMexico
Indicates a relationship where some form of strength, power, or robustness is attributed to, associated with, or exerted by Mexico.
-
E.
strategicObjectiveInBurma
Indicates that an entity has or represents a strategic objective specifically related to Burma (Myanmar).
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f82dd688190ad8882d8fb547cb5 |
completed | March 22, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.