Triple
T4913092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panna National Park |
E110280
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Panna |
E114392
|
NE FINISHED |
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: Panna | Statement: [Panna National Park, nearestCity, Panna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panna Context triple: [Panna National Park, nearestCity, Panna]
-
A.
Panna
chosen
Panna is a town in central India renowned for its diamond mines and proximity to Panna National Park, a noted tiger reserve.
-
B.
Pupri
Pupri is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local commercial and administrative center for surrounding rural areas.
-
C.
Chitrari
Chitrari is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
-
D.
Pehowa
Pehowa is a historic town in the Indian state of Haryana, known for its ancient temples and significance as a Hindu pilgrimage center.
-
E.
Verbania
Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9dc41481908c0c398852e6819c |
completed | March 20, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6feaf3dc81908b2c7a7409b1c952 |
completed | March 21, 2026, 10:16 a.m. |
Created at: March 20, 2026, 1:29 p.m.