Triple
T19273263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trimulgherry |
E481981
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object | Karkhana |
—
|
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: Karkhana | Statement: [Trimulgherry, nearbyLocality, Karkhana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karkhana Context triple: [Trimulgherry, nearbyLocality, Karkhana]
-
A.
Karkhana
chosen
Karkhana is a residential and commercial neighborhood in the city of Secunderabad, Telangana, India.
-
B.
Kilang
Kilang is an alternative name for Jilong, a town in Tibet near the border with Nepal known for its mountainous terrain and cross-border trade routes.
-
C.
Fabrica
Fabrica is a coastal barangay of Sagay City in Negros Occidental, Philippines, known historically for its sugar-related and port activities.
-
D.
Valfabbrica
Valfabbrica is a small Italian municipality in the Umbria region, known for its medieval historic center and location along the ancient pilgrimage route to Assisi.
-
E.
The Factory Village
The Factory Village is a painting by American Impressionist Julian Alden Weir that depicts an industrial mill scene with a subtle, atmospheric treatment of light and landscape.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbba7758819081c1c78667c59c5e |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.