Triple
T12309962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hispar Pass |
E293450
|
entity |
| Predicate | accessFrom |
P1985
|
FINISHED |
| Object | Hispar village |
E280245
|
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: Hispar village | Statement: [Hispar Pass, accessFrom, Hispar village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hispar village Context triple: [Hispar Pass, accessFrom, Hispar village]
-
A.
Hispar village
chosen
Hispar village is a remote settlement in the Karakoram region of northern Pakistan, known as a gateway for trekkers and climbers heading to the Hispar Glacier and surrounding high mountains.
-
B.
Qala-e Naw
Qala-e Naw is a small city in northwestern Afghanistan that serves as the capital of Badghis Province.
-
C.
Shah Allah Ditta village
Shah Allah Ditta village is a historic settlement near Islamabad, Pakistan, known for its ancient caves, archaeological remains, and scenic hiking trails in the Margalla Hills.
-
D.
Karimabad
Karimabad is a picturesque town in northern Pakistan’s Hunza region, known for its stunning mountain scenery, historic forts, and role as a popular base for trekkers and tourists.
-
E.
Karimabad
Karimabad is a neighborhood in Karachi, Pakistan, known for its bustling markets and central urban location within the city.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f02c0508190b10c0627cdaaba76 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e84fa708190854afc6afd425fd7 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.