Triple
T17962679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modhera Sun Temple |
E449122
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Mehsana |
—
|
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: Mehsana | Statement: [Modhera Sun Temple, nearbyCity, Mehsana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mehsana Context triple: [Modhera Sun Temple, nearbyCity, Mehsana]
-
A.
Mehsana
chosen
Mehsana is a prominent city in the Indian state of Gujarat, known for its dairy industry, oil and natural gas fields, and historical temples.
-
B.
Malvan
Malvan is a coastal town in Maharashtra, India, known for its beaches, seafood cuisine, and historic Sindhudurg Fort.
-
C.
Malvani
Malvani is an Indo-Aryan language variety spoken primarily in the Konkan coastal region of Maharashtra and Goa, closely related to Marathi and Konkani.
-
D.
Aonla
Aonla is a parliamentary constituency in Uttar Pradesh, India, known for its agricultural economy and political significance.
-
E.
Okhla
Okhla is a locality in South Delhi, India, known for its industrial areas, residential colonies, and proximity to the Yamuna River.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b134bc68819097cc199ea8e80f6c |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.