Triple
T8773364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alappuzha backwaters |
E208518
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | Alappuzha |
E208517
|
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: Alappuzha | Statement: [Alappuzha backwaters, majorTown, Alappuzha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alappuzha Context triple: [Alappuzha backwaters, majorTown, 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.
Angamaly
Angamaly is a town in the Ernakulam district of Kerala, India, known as a major transportation hub and gateway to the nearby Cochin International Airport.
-
C.
Eravur
Eravur is a town in Sri Lanka’s Eastern Province, known for its coastal setting, diverse communities, and proximity to the regional hub of Batticaloa.
-
D.
Kannur
Kannur is a historic coastal city in the Indian state of Kerala, known for its role in maritime trade, colonial-era forts, and rich Theyyam ritual art traditions.
-
E.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2dc87c8190be0597a260d95a0b |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51c0125c819098deb7a54688b125 |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:41 p.m.