Triple
T8080152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNTV |
E188592
|
entity |
| Predicate | hasSocialConcernPrograms |
P80382
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [UNTV, hasSocialConcernPrograms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocialConcernPrograms Context triple: [UNTV, hasSocialConcernPrograms, yes]
-
A.
hasVolunteerProgram
Indicates that an organization or entity offers an organized program through which individuals can volunteer their time or services.
-
B.
hasConservationProgram
Indicates that an entity maintains or participates in an organized effort to protect, restore, or sustainably manage natural resources, species, or ecosystems.
-
C.
hasConservationCampaign
Indicates that an entity is associated with or participates in a specific conservation campaign aimed at protecting or restoring natural resources or biodiversity.
-
D.
concernsProgramme
Indicates that something is about, relates to, or is specifically associated with a particular programme.
-
E.
hasSocialPractice
Indicates that one entity engages in, follows, or is characterized by a particular social practice or customary pattern of social behavior.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a504d48190ace96e814d99b182 |
completed | March 31, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69cb049f1614819087360d1a4c6f0faa |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14be17208190bb51c3dfcb613f20 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:28 p.m.