Triple
T20130016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhopal–Indore road |
E490863
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Ashta |
—
|
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: Ashta | Statement: [Bhopal–Indore road, passesThrough, Ashta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashta Context triple: [Bhopal–Indore road, passesThrough, Ashta]
-
A.
Ashta
chosen
Ashta is a legislative assembly constituency in the Sehore district of the central Indian state of Madhya Pradesh.
-
B.
Ashtarak
Ashtarak is a historic town in western Armenia known for its medieval churches, traditional architecture, and role as a regional cultural center.
-
C.
Ashtimki
Ashtimki is a traditional Tharu festival marked by ritual drawings, storytelling, and communal worship to celebrate the birth of Lord Krishna.
-
D.
Astaranga
Astaranga is a coastal village and emerging tourist spot in Odisha, India, known for its scenic beaches and fishing community.
-
E.
Ashtola
Ashtola is a small unincorporated rural community located in Donley County in the Texas Panhandle.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66760b8f08190a66fbb2e9e3925a3 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:31 p.m.