Triple
T15043415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mithi |
E379161
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Tharparkar |
E382607
|
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: Tharparkar | Statement: [Mithi, region, Tharparkar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tharparkar Context triple: [Mithi, region, Tharparkar]
-
A.
Tharparkar District
chosen
Tharparkar District is a region in southeastern Sindh, Pakistan, known for its vast Thar Desert landscape, arid climate, and culturally rich rural communities.
-
B.
Sialkot
Sialkot is a major industrial city in Pakistan’s Punjab province, renowned globally for its production of sports goods and surgical instruments.
-
C.
Panchagarh
Panchagarh is a northern Bangladeshi town and district headquarters known for its tea gardens and location near the Indian border.
-
D.
Bahawalpur
Bahawalpur is a historic city in southern Punjab, Pakistan, known for its former princely state status, grand palaces, and proximity to the Cholistan Desert.
-
E.
Narowal
Narowal is a city in the Punjab province of Pakistan, located close to the border with India and known for its agricultural surroundings and proximity to the Ravi River.
- 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_69ded82f73208190bb55fa6b20074e27 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfd954548190b3f7c60d95403f3e |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3 a.m.