Triple
T20142327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor Yale |
E491205
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Madras, India |
—
|
NE NERFINISHED |
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: Madras, India | Statement: [Governor Yale, residence, Madras, India]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madras, India Context triple: [Governor Yale, residence, Madras, India]
-
A.
Madras, India
chosen
Madras, India—now known as Chennai—is a major coastal metropolis in South India and the capital of the state of Tamil Nadu.
-
B.
Madras
Madras is a small city in central Oregon known as an agricultural hub and gateway to outdoor recreation in the surrounding high desert region.
-
C.
Madras
Madras is an unincorporated community located in Coweta County in the U.S. state of Georgia.
-
D.
Vellore
Vellore is a historic city in southern India known for its fort, educational and medical institutions, and location along the Palar River in the state of Tamil Nadu.
-
E.
Vellore
Vellore is a residential neighbourhood in the city of Vaughan, Ontario, known for its suburban housing, schools, and community amenities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679bcf2c8190ac6e969178d8acde |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.