Triple
T34947219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahatma Gandhi Setu |
E1007887
|
entity |
| Predicate | hasApproachRoadOn |
P4067
|
FINISHED |
| Object | Patna side |
—
|
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: Patna side | Statement: [Mahatma Gandhi Setu, hasApproachRoadOn, Patna side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproachRoadOn Context triple: [Mahatma Gandhi Setu, hasApproachRoadOn, Patna side]
-
A.
hasApproachRoad
chosen
Indicates that one entity is connected to or accessed by another entity via an approach road leading to it.
-
B.
hasApproachTrail
Indicates that there is a designated trail or path providing access or approach to a particular location or feature.
-
C.
roadwayApproachLocation
Indicates the spatial relationship where a roadway leads toward, connects to, or approaches a specified location or feature.
-
D.
hasAccessRoadsTo
Indicates that there exist one or more roads providing direct vehicular access from one location or site to another.
-
E.
hasRoadAbove
Indicates that one road segment is physically located above another, such as on an overpass, bridge, or elevated structure.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: May 3, 2026, 4 p.m.