Triple
T8773350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alappuzha |
E208517
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Alleppey |
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: Alleppey | Statement: [Alappuzha, formerName, Alleppey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alleppey Context triple: [Alappuzha, formerName, Alleppey]
-
A.
Kalady
Kalady is a village in the Indian state of Kerala, revered as the birthplace of the 8th-century philosopher and theologian Adi Shankaracharya and an important Hindu pilgrimage center.
-
B.
Kayadhu
Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
-
C.
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.
-
D.
Thenavattu
Thenavattu is a 2008 Tamil-language action film starring Jiiva and Poonam Bajwa, directed by V. V. Kathir and known for its commercial mass-masala style.
-
E.
Ezhimala, Kerala
Ezhimala, Kerala is a coastal region in northern Kerala that hosts the Indian Naval Academy, one of the world’s largest naval training institutions.
- 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.