Triple
T26269874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takatu Mountains |
E657089
|
entity |
| Predicate | formsPartOf |
P840
|
FINISHED |
| Object | orographic system of western Pakistan |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: orographic system of western Pakistan | Statement: [Takatu Mountains, formsPartOf, orographic system of western Pakistan]
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_69ee5b4e21bc819082be98bc9ab09796 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60e306f2c8190a58054cd33bb78fb |
completed | May 2, 2026, 2:46 p.m. |
Created at: April 26, 2026, 9:12 p.m.