Triple
T7650007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thanjavur Junction railway station |
E173223
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Kumbakonam |
E245266
|
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: Kumbakonam | Statement: [Thanjavur Junction railway station, connectsTo, Kumbakonam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumbakonam Context triple: [Thanjavur Junction railway station, connectsTo, Kumbakonam]
-
A.
Kumbakonam
chosen
Kumbakonam is a historic temple town in the Indian state of Tamil Nadu, renowned for its rich cultural heritage, ancient temples, and traditional learning.
-
B.
Tiruvarur
Tiruvarur is a historic temple town in Tamil Nadu, India, renowned for its rich Carnatic music heritage and the famous Thyagaraja Temple.
-
C.
Tiruverumbur
Tiruverumbur is a suburban locality and industrial area near Tiruchirappalli city in the Indian state of Tamil Nadu.
-
D.
Mudukulathur
Mudukulathur is a town in the Ramanathapuram district of Tamil Nadu, India, known for its role as a local administrative and commercial center.
-
E.
Thuraiyur
Thuraiyur is a town and municipality in the Indian state of Tamil Nadu, known for its agricultural economy and proximity to several historic temples.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70174af248190af6695e127776c02 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c93fa2550481908348b8b4dd23d6df |
completed | March 29, 2026, 3:05 p.m. |
Created at: March 27, 2026, 3:58 p.m.