Triple
T3211739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna University |
E67295
|
entity |
| Predicate | affiliates |
P1721
|
FINISHED |
| Object | engineering colleges in Tamil Nadu |
—
|
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: engineering colleges in Tamil Nadu | Statement: [Anna University, affiliates, engineering colleges in Tamil Nadu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affiliates Context triple: [Anna University, affiliates, engineering colleges in Tamil Nadu]
-
A.
mediaAffiliate
Indicates a relationship where one media entity is affiliated with, partnered to, or formally associated with another media organization or outlet.
-
B.
hasAffiliate
chosen
Indicates that one entity is formally associated with another as an affiliate, typically through a partnership, membership, or subordinate organizational relationship.
-
C.
affiliateOfType
Indicates that an affiliate entity belongs to, or is categorized under, a specific type or classification.
-
D.
sponsorAssociatedWith
Indicates a relationship where a sponsor is connected to, involved with, or responsible for supporting another entity.
-
E.
affiliatesSectionWinner
Indicates that an entity is recognized as the winner of a specific section or division within an affiliate organization or group.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaaba224c8190ad2f4e0ed1c2ca4a |
completed | March 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.