Triple
T23414875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayilappur |
E560176
|
entity |
| Predicate | hasTransliteration |
P2508
|
FINISHED |
| Object | Mayilāppur |
—
|
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: Mayilāppur | Statement: [Mayilappur, hasTransliteration, Mayilāppur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayilāppur Context triple: [Mayilappur, hasTransliteration, Mayilāppur]
-
A.
Mayilappur
chosen
Mayilappur is the traditional Tamil name for Mylapore, a historic and culturally significant neighborhood in Chennai, India.
-
B.
Avaniapuram
Avaniapuram is a locality in Madurai, Tamil Nadu, known for hosting traditional cultural events and rural sports.
-
C.
Ettayapuram
Ettayapuram is a town in Tamil Nadu, India, best known as the birthplace of the renowned poet and Indian independence activist Subramania Bharati.
-
D.
Kaamalapuram
Kaamalapuram is a locality in Tamil Nadu, India, known primarily for hosting the airport that serves the city of Salem.
-
E.
Ellichpur
Ellichpur is a historic city in Maharashtra, India, that once served as an important regional capital under the Deccan sultanates.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a514b1d08190bbde2c3714c996fd |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:39 p.m.