Triple
T16268989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astore District |
E394947
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Astore |
E393378
|
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: Astore | Statement: [Astore District, capital, Astore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Astore Context triple: [Astore District, capital, Astore]
-
A.
Astore
Astore is a mountainous valley and town in the Gilgit-Baltistan region of northern Pakistan, known as a gateway to the Himalayas and nearby Nanga Parbat.
-
B.
Astoreth
Astoreth is a variant name for the ancient Near Eastern goddess Astarte, associated with fertility, sexuality, and war in various Semitic religions.
-
C.
Almazán
Almazán is a historic town in the province of Soria, Castile and León, Spain, known for its medieval heritage and role in regional political agreements.
-
D.
Astore (town)
chosen
Astore is a small town in northern Pakistan that serves as the administrative and commercial center of the mountainous Astore Valley in Gilgit-Baltistan.
-
E.
Fair Store
Fair Store was a pioneering Chicago department store building designed by architect William Le Baron Jenney, often associated with the early development of skyscraper architecture.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245ca5c708190a1e98ab37740c032 |
completed | April 17, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025fb88488190a2979c75fba67b9d |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.