Triple
T31434525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regeneración |
E801888
|
entity |
| Predicate | wasKeyVoiceIn |
P171867
|
FINISHED |
| Object | lead-up to the Mexican Revolution |
—
|
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: lead-up to the Mexican Revolution | Statement: [Regeneración, wasKeyVoiceIn, lead-up to the Mexican Revolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasKeyVoiceIn Context triple: [Regeneración, wasKeyVoiceIn, lead-up to the Mexican Revolution]
-
A.
hasVoiceIn
Indicates that an entity participates by providing a voice role or vocal performance in another entity, such as a work, production, or recording.
-
B.
providedVocalPerformanceFor
Indicates that one entity delivered or contributed a vocal performance in support of, or as part of, another entity’s work, event, or production.
-
C.
hasVocalPerformanceBy
Indicates that a vocal performance in a work or recording is performed by a specified person or group.
-
D.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
E.
hasVoices
Indicates that an entity possesses or includes one or more vocal parts, voice tracks, or spoken/sung voice elements.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a5f656ec81909e02b0b873303adf |
completed | May 3, 2026, 1:33 a.m. |
Created at: April 30, 2026, 9 p.m.