Triple
T15060595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larkana Division |
E379613
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Shikarpur |
E388632
|
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: Shikarpur | Statement: [Larkana Division, hasMajorCity, Shikarpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shikarpur Context triple: [Larkana Division, hasMajorCity, Shikarpur]
-
A.
Shikarpur
chosen
Shikarpur is a historic city in the Sindh province of Pakistan, known for its old trading heritage and distinctive cultural and architectural traditions.
-
B.
Khairpur
Khairpur is a historic city in Sindh, Pakistan, known for its former princely state status under the Talpur rulers and its rich cultural and architectural heritage.
-
C.
Kalhoro
Kalhoro is a Sindhi tribe historically prominent in the region that provided the ruling family for the Kalhora dynasty in what is now Pakistan.
-
D.
Rahim Yar Khan
Rahim Yar Khan is a major city in southern Punjab, Pakistan, known as an important commercial and agricultural center in the Seraiki-speaking region.
-
E.
Vehari
Vehari is a city in the Punjab province of Pakistan, known as an agricultural and educational hub in the region.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee6a55c8190b40c4672fb46b79b |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2ce5d0708190bbfff5d68c5e7a3c |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:01 a.m.