Triple
T19815282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NH 66 (via southern network near Kanyakumari) |
E476043
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Alappuzha |
—
|
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: Alappuzha | Statement: [NH 66 (via southern network near Kanyakumari), connectsCity, Alappuzha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alappuzha Context triple: [NH 66 (via southern network near Kanyakumari), connectsCity, Alappuzha]
-
A.
Alappuzha
chosen
Alappuzha is a coastal city in the Indian state of Kerala, famed for its backwaters, houseboat cruises, and annual Nehru Trophy boat race.
-
B.
Vadakkumkur
Vadakkumkur was a small feudal kingdom in the Kerala region of India that later became part of the expanding Travancore state.
-
C.
Vazhakulam
Vazhakulam is a town in the Ernakulam district of Kerala, India, known especially for its large-scale pineapple cultivation and trade.
-
D.
Mavelikkara
Mavelikkara is a town in the Alappuzha district of Kerala, India, known for its cultural heritage and historical significance.
-
E.
Kayamkulam
Kayamkulam is a historic town and former feudal kingdom in present-day Kerala, India, known for its backwaters, traditional industries, and role in the region’s pre-modern political conflicts.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f861248190a633dd8d227d9697 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.