Triple
T3137892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundelkhand Expressway |
E65576
|
entity |
| Predicate | connectsRegionTo |
P24718
|
FINISHED |
| Object | key economic centers in Uttar Pradesh |
—
|
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: key economic centers in Uttar Pradesh | Statement: [Bundelkhand Expressway, connectsRegionTo, key economic centers in Uttar Pradesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsRegionTo Context triple: [Bundelkhand Expressway, connectsRegionTo, key economic centers in Uttar Pradesh]
-
A.
connectsRegions
chosen
Indicates a relationship where one entity links or joins two or more distinct regions, enabling passage, interaction, or continuity between them.
-
B.
linkedToRegion
Indicates that one entity is associated or connected to a specific geographic or administrative region.
-
C.
connectsArea
Indicates that one area serves as a link or passage between two other areas, enabling movement or interaction between them.
-
D.
connectsTo
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
E.
connectsViaCanal
Indicates that one entity is linked or joined to another by means of a canal.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada574509c81908a88bb10ea35516d |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9df840088190a26a1516f4c1f056 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.