Triple
T19922564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | seven-storey Datia Palace |
E478833
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Datia town |
—
|
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: Datia town | Statement: [seven-storey Datia Palace, hasView, Datia town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Datia town Context triple: [seven-storey Datia Palace, hasView, Datia town]
-
A.
Datia town
chosen
Datia town is a historic urban center in Madhya Pradesh, India, known for its hilltop palaces, temples, and rich Bundelkhand architectural heritage.
-
B.
Satna city
Satna city is an urban center in the Indian state of Madhya Pradesh, known as a regional commercial and transportation hub.
-
C.
Sohna town
Sohna town is a rapidly developing suburban area in Haryana, India, known for its hot springs, proximity to the Aravalli hills, and growing residential and commercial hubs.
-
D.
Amalner
Amalner is a town in the Indian state of Maharashtra known for its textile industry and as the birthplace of the Wipro company.
-
E.
Somnath town
Somnath town is a coastal pilgrimage destination in Gujarat, India, best known for the revered Somnath Temple and its scenic Arabian Sea shoreline.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c6919c8190a96106532580b6b6 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.