Triple
T22051119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thirupadiripuliyur railway station |
E544884
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Thirupapuliyur |
—
|
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: Thirupapuliyur | Statement: [Thirupadiripuliyur railway station, serves, Thirupapuliyur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thirupapuliyur Context triple: [Thirupadiripuliyur railway station, serves, Thirupapuliyur]
-
A.
Thirupapuliyur
chosen
Thirupapuliyur is a residential and commercial locality within the coastal town of Cuddalore in the Indian state of Tamil Nadu.
-
B.
Sriperumbathur
Sriperumbathur is a town in the Kanchipuram district of Tamil Nadu, India, known as the birthplace of the philosopher-saint Ramanuja and for its industrial and automotive manufacturing hubs.
-
C.
Manachanallur
Manachanallur is a town in the Indian state of Tamil Nadu, known for its rice mills and agricultural economy.
-
D.
Thiruporur
Thiruporur is a town in the Indian state of Tamil Nadu known for its historic Murugan temple and location along the Old Mahabalipuram Road near Chennai.
-
E.
Kotturpuram
Kotturpuram is a residential neighborhood in Chennai, India, known for its proximity to educational institutions and its location along the Adyar River.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1283386f081908b70df81f38a5b1c |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:26 p.m.