Triple
T18747879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Railway Catering and Tourism Corporation |
E458449
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | IRCTC eWallet |
—
|
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: IRCTC eWallet | Statement: [Indian Railway Catering and Tourism Corporation, product, IRCTC eWallet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IRCTC eWallet Context triple: [Indian Railway Catering and Tourism Corporation, product, IRCTC eWallet]
-
A.
IRCTC
chosen
IRCTC is the Indian Railways’ official online platform for booking train tickets and related travel services across India.
-
B.
PNR
PNR is the station code for Palmerston North railway station in New Zealand.
-
C.
PNR
PNR is the acronym for Cuba’s National Revolutionary Police Force, the country’s primary law enforcement and public order agency.
-
D.
PNR
PNR is the National Rail station code for Penrith North Lakes railway station in Cumbria, England.
-
E.
Pesa trains
Pesa trains are modern electric multiple units manufactured by the Polish company Pesa, used as part of the rolling stock on systems such as the Sofia Metro.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579e9903c81908180c46012bd0948 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.