Triple
T27209059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pentecostalism in the Philippines |
E683949
|
entity |
| Predicate | demographicReach |
P82449
|
FINISHED |
| Object | urban poor communities |
—
|
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: urban poor communities | Statement: [Pentecostalism in the Philippines, demographicReach, urban poor communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicReach Context triple: [Pentecostalism in the Philippines, demographicReach, urban poor communities]
-
A.
hasAudienceReach
chosen
Indicates the extent or scope of people or groups that are exposed to, can access, or are targeted by a particular entity, message, or activity.
-
B.
approximateAudienceSize
Indicates an estimated number of individuals or entities that are expected to be reached or affected in a given context.
-
C.
hasDemographic
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
D.
targetAudienceRank
Indicates the relative priority or importance level assigned to a particular audience segment compared to other potential audiences.
-
E.
marketReach
Indicates the extent or breadth of audience, customers, or geographic areas that a product, service, or message successfully reaches in the market.
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 9:39 a.m.