Triple
T13610550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scheduled Castes |
E325176
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | SCs |
E325176
|
NE 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: SCs | Statement: [Scheduled Castes, shortName, SCs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCs Context triple: [Scheduled Castes, shortName, SCs]
-
A.
SCs
chosen
SCs refers to the Scheduled Castes in India, a group of historically disadvantaged communities recognized in the Constitution for affirmative action and social protection.
-
B.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
-
C.
SCU
SCU is the IATA airport code for Antonio Maceo International Airport serving Santiago de Cuba, Cuba.
-
D.
SCU
SCU is the commonly used abbreviation for Sichuan University, a major comprehensive research university located in Chengdu, China.
-
E.
SC6
SC6 is a rebranded, personality-driven edition of ESPN’s SportsCenter that was hosted by Michael Smith and Jemele Hill in the 6 p.m. time slot.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9a9f9c81909b0a8f4f51c461ae |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.