Triple
T22398792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhansi–Lucknow line |
E553703
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Orai |
—
|
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: Orai | Statement: [Jhansi–Lucknow line, passesThrough, Orai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orai Context triple: [Jhansi–Lucknow line, passesThrough, Orai]
-
A.
Orai
chosen
Orai is a city in the Indian state of Uttar Pradesh that serves as an important local commercial and administrative center.
-
B.
Orites
Orites is a small genus of evergreen shrubs and trees in the family Proteaceae, native to regions such as Australia and South America and known for its leathery leaves and clustered flowers.
-
C.
Inor
Inor is a West Gurage Semitic language spoken primarily in central Ethiopia.
-
D.
Oporoma
Oporoma is a town in Bayelsa State, Nigeria, serving as an administrative and political center for the surrounding Southern Ijaw area.
-
E.
Ora
Ora is the surname of British singer, songwriter, and actress Rita Ora, known for her pop hits and work in film and television.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15861ac248190a967f534feea0265 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:46 p.m.