Triple
T6474289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of El Caney |
E146030
|
entity |
| Predicate | spanishDefensiveStrength |
P12310
|
FINISHED |
| Object | Outnumbered but well-entrenched Spanish defenders |
—
|
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: Outnumbered but well-entrenched Spanish defenders | Statement: [Battle of El Caney, spanishDefensiveStrength, Outnumbered but well-entrenched Spanish defenders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spanishDefensiveStrength Context triple: [Battle of El Caney, spanishDefensiveStrength, Outnumbered but well-entrenched Spanish defenders]
-
A.
hasDefenderStrength
chosen
Indicates that an entity possesses a certain level or measure of defensive capability or protective power.
-
B.
strengthMexico
Indicates a relationship where some form of strength, power, or robustness is attributed to, associated with, or exerted by Mexico.
-
C.
defensiveStructure
Indicates a relationship where one entity functions as a structure built or used to protect, defend, or fortify another entity or area.
-
D.
SpanishFleetStrength
Indicates the relative size or power of a Spanish naval fleet in a given context or time.
-
E.
strategicObjectiveSpain
Indicates that an entity has a strategic objective specifically related to Spain.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a32c0188190bcb3c35fc1d796a6 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:50 p.m.