Triple
T8431221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARRAY Alliance |
E199117
|
entity |
| Predicate | hasFocusSector |
P25176
|
FINISHED |
| Object | arts and culture |
—
|
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: arts and culture | Statement: [ARRAY Alliance, hasFocusSector, arts and culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFocusSector Context triple: [ARRAY Alliance, hasFocusSector, arts and culture]
-
A.
hasFocusGroup
Indicates that an entity is associated with or participates in a specific focus group for targeted discussion, feedback, or research.
-
B.
hasFocusPopulation
Indicates that an entity is specifically directed toward, designed for, or primarily concerns a particular target population or group.
-
C.
hasAreaOfInterest
chosen
Indicates that an entity possesses or is associated with a particular area of interest or focus.
-
D.
hasMarketFocus
Indicates that an entity concentrates its business activities, products, or services on a particular market or customer segment.
-
E.
hasFocusSystem
Indicates that one entity is the primary system or subsystem that another entity is currently directing its attention, control, or processing resources toward.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:07 p.m.