Triple
T8773490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vembanad Lake |
E208520
|
entity |
| Predicate | hasCityOnShore |
P969
|
FINISHED |
| Object |
Vaikom
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.
|
E757684
|
NE FINISHED |
How this triple was built (4 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: [Vembanad Lake, hasCityOnShore, Vaikom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaikom Context triple: [Vembanad Lake, hasCityOnShore, Vaikom]
-
A.
Vaikartana
Vaikartana is an epithet of Karna, the famed warrior and tragic hero of the Indian epic Mahabharata.
-
B.
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.
-
C.
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.
-
D.
Vahka
Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
-
E.
Vaitele
Vaitele is a town on the island of Upolu in Samoa, situated near the capital Apia and functioning as a growing residential and industrial area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vaikom Triple: [Vembanad Lake, hasCityOnShore, Vaikom]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vaikom Target entity description: 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.
-
A.
Vaikartana
Vaikartana is an epithet of Karna, the famed warrior and tragic hero of the Indian epic Mahabharata.
-
B.
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.
-
C.
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.
-
D.
Vahka
Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
-
E.
Vaitele
Vaitele is a town on the island of Upolu in Samoa, situated near the capital Apia and functioning as a growing residential and industrial area.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69cf5378c3f48190a4180c20aecb2260 |
completed | April 3, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5471e9c08190963b7f1d6c2ceffe |
completed | April 3, 2026, 5:47 a.m. |
Created at: March 30, 2026, 6:41 p.m.