Triple
T11840465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itarsi |
E281636
|
entity |
| Predicate | connectsRailRoutes |
P24517
|
FINISHED |
| Object | north India |
—
|
LITERAL FINISHED |
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: north India | Statement: [Itarsi, connectsRailRoutes, north India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsRailRoutes Context triple: [Itarsi, connectsRailRoutes, north India]
-
A.
hasRailRoute
Indicates that there exists a rail-based transportation route or connection between the related entities.
-
B.
countryRailConnection
Indicates that there is a railway connection or service linking two countries.
-
C.
coordinatesRailTrafficWith
Indicates that one entity organizes and synchronizes rail operations or movements with another entity to ensure coordinated train traffic.
-
D.
railroadNetwork
chosen
Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
-
E.
railTracks
Indicates that one entity consists of, includes, or is associated with rail tracks used for guiding trains or rail vehicles.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.