Triple
T17979561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chitrakoot |
E449562
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Satna |
—
|
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: Satna | Statement: [Chitrakoot, nearbyCity, Satna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satna Context triple: [Chitrakoot, nearbyCity, Satna]
-
A.
Satna
chosen
Satna is a prominent industrial and commercial city in central India, known especially for its large cement factories and strategic location in Madhya Pradesh.
-
B.
Sabni
Sabni was an ancient Egyptian official from the Old Kingdom whose rock-cut tomb at Aswan’s Tombs of the Nobles is notable for its detailed inscriptions and scenes illustrating his life and status.
-
C.
Yaganti
Yaganti is a historic temple town in Andhra Pradesh, India, renowned for its ancient Sri Yagantiswamy (Shiva) temple and distinctive rock formations.
-
D.
Savnur
Savnur is a town in the Indian state of Karnataka, historically associated with the birth of the Maratha statesman Madhav Rao I.
-
E.
Sawerigadi
Sawerigadi is a town in Indonesia located in the province of Southeast Sulawesi.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b201d1508190a9d6abbfd04bdcae |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.