Triple
T16697277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taraori |
E405746
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Karnal division |
E358338
|
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: Karnal division | Statement: [Taraori, region, Karnal division]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karnal division Context triple: [Taraori, region, Karnal division]
-
A.
Karnal division
chosen
Karnal division is an administrative division in the Indian state of Haryana that includes districts such as Karnal and Panipat.
-
B.
Jalandhar division
Jalandhar division is an administrative division in the Indian state of Punjab that encompasses several districts, including Jalandhar and Kapurthala.
-
C.
Amritsar division
Amritsar division is an administrative division in the Indian state of Punjab, centered around the city of Amritsar and comprising several surrounding districts.
-
D.
Patiala division
Patiala division is an administrative division in the Indian state of Punjab that includes districts such as Sangrur.
-
E.
Karnal district
Karnal district is an administrative region in northern India known for its agricultural productivity and historical significance within the state of Haryana.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3832e93c48190a594c498e9cc901a |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d36aa90819090b738c1c94dcb9f |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:19 a.m.