Triple
T21109091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaikom Muhammad Basheer |
E520128
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Vaikom |
E757684
|
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: Vaikom | Statement: [Vaikom Muhammad Basheer, placeOfBirth, Vaikom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaikom Context triple: [Vaikom Muhammad Basheer, placeOfBirth, Vaikom]
-
A.
Vaikom
chosen
Vaikom is a historic temple town in the Kottayam district of Kerala, India, known for the Vaikom Mahadeva Temple and its role in the Vaikom Satyagraha social reform movement.
-
B.
Vaikartana
Vaikartana is an epithet of Karna, the famed warrior and tragic hero of the Indian epic Mahabharata.
-
C.
Vaini
Vaini is a coastal village and district on the southern side of Tongatapu in Tonga, known as one of the island’s main population centers.
-
D.
Voisin
Voisin is a French surname borne by various notable figures, including mathematician Claire Voisin.
-
E.
Vaikasi
Vaikasi is a late-spring month in the Tamil calendar, typically corresponding to May–June, noted for important Hindu temple festivals and religious observances.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7210110a48190a6359b6732f6293d |
completed | April 21, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a69219c8190ab5b106aa1375c6a |
completed | May 17, 2026, 6:04 a.m. |
Created at: April 16, 2026, 2:54 p.m.