Triple
T15334718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagercoil |
E366631
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Marthandam |
E1029955
|
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: Marthandam | Statement: [Nagercoil, near, Marthandam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marthandam Context triple: [Nagercoil, near, Marthandam]
-
A.
Marthandam
chosen
Marthandam is a town in the Kanyakumari district of Tamil Nadu, India, known as a regional commercial hub and administrative center.
-
B.
Koothattukulam
Koothattukulam is a small town in the Indian state of Kerala known for its agrarian surroundings and local trading activities.
-
C.
Chengannur
Chengannur is a town in the Alappuzha district of Kerala, India, known as a gateway to the Sabarimala pilgrimage and for its proximity to the Pamba River.
-
D.
Mavelikkara
Mavelikkara is a town in the Alappuzha district of Kerala, India, known for its cultural heritage and historical significance.
-
E.
Kalamassery
Kalamassery is a major industrial and educational suburb of Kochi in Kerala, India, known for its factories, technology parks, and institutions like the Cochin University of Science and Technology.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff755e0f2c819088293d8a55d7883a |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 3:17 a.m.