Triple
T8496785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wazirabad village |
E201118
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Wazirabad area |
E220423
|
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: Wazirabad area | Statement: [Wazirabad village, locatedIn, Wazirabad area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wazirabad area Context triple: [Wazirabad village, locatedIn, Wazirabad area]
-
A.
Shahabad region
The Shahabad region is a historical area in the Indian state of Bihar, known for its former feudal estates and role in regional politics and agrarian society.
-
B.
Nizamuddin area
Nizamuddin area is a historic neighborhood in Delhi, India, known for its Sufi shrines, Mughal-era monuments, and vibrant cultural and religious life.
-
C.
Peshawar Road area
Peshawar Road area is a prominent residential and commercial locality in Rawalpindi Cantonment, known for its major roadway connectivity and mixed urban development.
-
D.
Wazirabad
chosen
Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
-
E.
Gulshanabad
Gulshanabad is the former historical name of the Indian city now known as Nashik in Maharashtra.
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe57f8c508190b3a93ef180db9873 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e01e65481908b868d1810a83e0e |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:13 p.m.