Triple
T37114115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MMCT |
E919071
|
entity |
| Predicate | usedInReservationSystemsBy |
P62319
|
FINISHED |
| Object | Indian Railways |
—
|
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: Indian Railways | Statement: [MMCT, usedInReservationSystemsBy, Indian Railways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInReservationSystemsBy Context triple: [MMCT, usedInReservationSystemsBy, Indian Railways]
-
A.
hasReservationSystem
chosen
Indicates that an entity uses or is equipped with a system for managing reservations or bookings.
-
B.
reservationSystem
Indicates a system or process that manages the creation, modification, and tracking of reservations or bookings between parties.
-
C.
isReservationOf
Indicates that a given reservation entity is specifically associated with, or made for, a particular resource, service, or event.
-
D.
usedInSchedulingSystems
Indicates that something is employed as a component or mechanism within scheduling systems to plan, allocate, or manage tasks, resources, or time.
-
E.
reservationAlsoIn
Indicates that a reservation is additionally included or valid in another context, system, or location beyond its primary one.
- F. None of above.
Provenance (3 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: May 3, 2026, 4:15 p.m.