Triple
T27497450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coimbatore city bus network |
E694054
|
entity |
| Predicate | hasMajorTerminus |
P160862
|
FINISHED |
| Object | Gandhipuram Central Bus Stand |
—
|
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: Gandhipuram Central Bus Stand | Statement: [Coimbatore city bus network, hasMajorTerminus, Gandhipuram Central Bus Stand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorTerminus Context triple: [Coimbatore city bus network, hasMajorTerminus, Gandhipuram Central Bus Stand]
-
A.
isMajorTerminalOf
Indicates that one entity serves as a primary or main terminal (such as a key endpoint or hub) for another entity within a system or network.
-
B.
hasTerminusIn
Indicates that something (such as a route, line, or path) ends or has its final stopping point at a specified location.
-
C.
hasTerminusRole
Indicates that an entity participates in something specifically in the capacity of a terminus or endpoint role.
-
D.
hasMajor
Indicates that an entity (typically a person or student) has a specific primary field of academic study or specialization.
-
E.
hasCentralTerminus
chosen
Indicates that one entity serves as the primary or central terminus (end point or hub) for another entity.
- 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_69ef538370888190b1ddf53bb4831188 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
Created at: April 27, 2026, 1:09 p.m.