Triple
T23035440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirpur |
E573580
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Rupnagar |
—
|
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: Rupnagar | Statement: [Mirpur, hasPart, Rupnagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rupnagar Context triple: [Mirpur, hasPart, Rupnagar]
-
A.
Rupnagar
chosen
Rupnagar is a historic town in the Indian state of Punjab, known as one of the earliest Indus Valley Civilization sites and an important regional administrative and cultural center.
-
B.
Khanpur
Khanpur is a prominent town in Rajasthan, India, known as one of the key urban centers of Jhalawar district.
-
C.
Khanpur
Khanpur is a residential neighborhood in South East Delhi, India, known for its urban character and proximity to major city routes and markets.
-
D.
Khanpur
Khanpur is a significant urban and commercial center in southern Punjab, Pakistan, known for its agricultural trade and regional connectivity.
-
E.
Jagraon
Jagraon is a historic town in the Indian state of Punjab, known for its agricultural trade and cultural significance in the Malwa region.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1850df7fc81909ee522d99d96af0d |
completed | April 29, 2026, 4:11 a.m. |
Created at: April 17, 2026, 3:53 p.m.