Triple
T21477947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashmir division |
E529911
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Shopian |
—
|
NE NERFINISHED |
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: Shopian | Statement: [Kashmir division, hasTown, Shopian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shopian Context triple: [Kashmir division, hasTown, Shopian]
-
A.
Shopian
chosen
Shopian is a town in the southern part of Jammu and Kashmir, India, known historically as an important trading hub and gateway along the ancient Mughal Road.
-
B.
Shoptalk Systems
Shoptalk Systems is a software company best known for creating and maintaining the Liberty BASIC programming language.
-
C.
Sparx
Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
-
D.
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.
-
E.
Nentego
Nentego is the autonym of the Nanticoke people, an Indigenous group historically located in the Mid-Atlantic region of what is now the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea1951fc8190910f634327aa5c3f |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:20 p.m.