Triple
T13231681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurram District |
E315034
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Sadda |
E858682
|
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: Sadda | Statement: [Kurram District, hasMajorTown, Sadda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadda Context triple: [Kurram District, hasMajorTown, Sadda]
-
A.
Sadda
chosen
Sadda is a town in Pakistan’s Khyber Pakhtunkhwa region, known as a local commercial and administrative center in the Kurram District near the Afghan border.
-
B.
Saddar
Saddar is a major commercial and administrative district in Karachi, Pakistan, known for its bustling markets, colonial-era architecture, and central location.
-
C.
Adda
The Adda is a major river in northern Italy that flows through the Lombardy region and contributes significantly to the water system of the Po basin.
-
D.
Bhadar
Bhadar is a river in the Saurashtra region of Gujarat, India, known for supporting irrigation and local ecosystems along its course.
-
E.
Shekhani
Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d34ff288190bdb550a019b7a470 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2c07488190ad07c544cca63a7d |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:22 p.m.