Triple
T2684686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabul River |
E57455
|
entity |
| Predicate | passesNear |
P416
|
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: [Kabul River, passesNear, Charsadda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charsadda Context triple: [Kabul River, passesNear, Charsadda]
-
A.
Charsadda
chosen
Charsadda is a historic city in northwestern Pakistan known for its ancient Gandharan heritage and agricultural significance.
-
B.
Tachelhit
Tachelhit is a Berber (Amazigh) language spoken primarily in southwestern Morocco, especially in the Souss region and the High Atlas mountains.
-
C.
Tarhuna
Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
-
D.
Madayya
Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
-
E.
Kalbeliya
Kalbeliya is a vibrant folk dance form of the Kalbeliya (snake-charmer) community, characterized by fast, swirling movements and colorful costumes, and is recognized by UNESCO as an Intangible Cultural Heritage of Humanity.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9edba5c8190b86d6cba0f1964e2 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa0700d548190944544495a2d42f6 |
completed | March 10, 2026, 4:39 a.m. |
Created at: March 6, 2026, 9:54 p.m.