Triple
T11676873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charsadda District |
E277515
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Charsadda |
E54837
|
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: Charsadda | Statement: [Charsadda District, capital, Charsadda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charsadda Context triple: [Charsadda District, capital, Charsadda]
-
A.
Charsadda
chosen
Charsadda is a historic city in northwestern Pakistan known for its ancient Gandharan heritage and agricultural significance.
-
B.
Tarshiha
Tarshiha is an Arab town in northern Israel, known today as the Arab component of the mixed city of Ma'alot-Tarshiha.
-
C.
Ad-Damazin
Ad-Damazin is a city in southeastern Sudan that serves as the main urban and administrative center of the Blue Nile region, near the Roseires Dam on the Blue Nile River.
-
D.
Gharsana
Gharsana is a town in the arid northwestern region of Rajasthan, India, known for its agriculture supported by canal irrigation and its proximity to the India–Pakistan border.
-
E.
Taybeh
Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13f12c2481909171a3237064c76d |
completed | April 27, 2026, 7:44 a.m. |
Created at: April 8, 2026, 9:40 p.m.