Triple
T7667903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partido Encuentro Social |
E173670
|
entity |
| Predicate | sectorBase |
P78681
|
FINISHED |
| Object | evangelical Christian communities in Mexico |
—
|
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: evangelical Christian communities in Mexico | Statement: [Partido Encuentro Social, sectorBase, evangelical Christian communities in Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorBase Context triple: [Partido Encuentro Social, sectorBase, evangelical Christian communities in Mexico]
-
A.
sector
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
-
B.
sectorCode
Indicates the classification code that identifies the economic or organizational sector associated with an entity or activity.
-
C.
sectorServed
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
-
D.
sectorIncludes
Indicates that a broader sector encompasses or contains a specified sub-sector, area, or component within its scope.
-
E.
sectorPreparation
Indicates that an entity is involved in getting a specific sector ready for operation, use, or transition through planning, setup, or related preparatory actions.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7063cfd78819095c6501fe8d57312 |
completed | March 27, 2026, 10:35 p.m. |
Created at: March 27, 2026, 4 p.m.