Triple
T19669556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagar district |
E472296
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Bina |
—
|
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: Bina | Statement: [Sagar district, hasTown, Bina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bina Context triple: [Sagar district, hasTown, Bina]
-
A.
Bina
Bina is the surname of Eric Bina, an American software engineer best known as the co-creator of the Mosaic web browser.
-
B.
Bina
chosen
Bina is a railway and industrial town in the Indian state of Madhya Pradesh, known for its major railway junction and nearby oil refinery.
-
C.
Bisa
Bisa is a Gur (Voltaic) language spoken primarily in parts of Burkina Faso and neighboring West African countries.
-
D.
Binya
Binya is a small rural locality in New South Wales, Australia, situated in an agricultural region of the Riverina.
-
E.
Bani
Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416ad1b481908d2890d8c21aac5c |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.