Triple
T30738854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katpadi Junction railway station |
E782637
|
entity |
| Predicate | isMajorJunctionOnRoute |
P64350
|
FINISHED |
| Object | Chennai to southern 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: Chennai to southern India | Statement: [Katpadi Junction railway station, isMajorJunctionOnRoute, Chennai to southern India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorJunctionOnRoute Context triple: [Katpadi Junction railway station, isMajorJunctionOnRoute, Chennai to southern India]
-
A.
isMajorRoadJunction
Indicates that a location serves as a primary intersection where major roads or highways meet or cross.
-
B.
isMajorJunctionOnLine
chosen
Indicates that a location serves as a primary connecting junction along a particular line or route.
-
C.
isMajorJunctionCode
Indicates that a given code corresponds to a major junction point within a network (such as transport, communication, or infrastructure).
-
D.
isMajorRouteThrough
Indicates that a route serves as a primary or significant pathway passing through a specified area or location.
-
E.
isMajorTrafficRoute
Indicates that a road or pathway serves as a primary, heavily used route for traffic flow within a transportation network.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: April 29, 2026, 8:37 p.m.