Triple
T22398793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhansi–Lucknow line |
E553703
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Kalpi |
—
|
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: Kalpi | Statement: [Jhansi–Lucknow line, passesThrough, Kalpi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalpi Context triple: [Jhansi–Lucknow line, passesThrough, Kalpi]
-
A.
Kalpi
chosen
Kalpi is a historic town in Uttar Pradesh, India, known as an important center on the banks of the Yamuna River and for its role in regional trade and history.
-
B.
Kalpeni
Kalpeni is a coral atoll and inhabited island in India’s Lakshadweep archipelago in the Arabian Sea, known for its lagoon, beaches, and coconut groves.
-
C.
Kapsali
Kapsali is a coastal village and harbor on the Greek island of Kythira, known for its scenic twin bays, beaches, and views of the island’s main town above.
-
D.
Kalapet
Kalapet is a coastal locality in the Union Territory of Puducherry, India, known for hosting the main campus of Pondicherry University.
-
E.
Satakopa
Satakopa is the revered honorific name of Nammalvar, one of the most important Tamil Vaishnavite poet-saints of the Alvar tradition.
- 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.