Triple
T7025903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Bridge, Lincoln |
E162944
|
entity |
| Predicate | hasBuildingOnBridge |
P70940
|
FINISHED |
| Object | shops |
—
|
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: shops | Statement: [High Bridge, Lincoln, hasBuildingOnBridge, shops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingOnBridge Context triple: [High Bridge, Lincoln, hasBuildingOnBridge, shops]
-
A.
hasBuildingTypeOnBridge
chosen
Indicates that a specific type of building or structure is located on or constructed upon a bridge.
-
B.
hasBridgeOrStructure
Indicates that there exists a bridge or similar structural connection between the related entities.
-
C.
hasNearbyBridge
Indicates that one entity is located close to a bridge associated with or relevant to it.
-
D.
hasBridgeTo
Indicates that one entity is connected to another by a bridge or bridging structure that allows passage or linkage between them.
-
E.
hasFootbridge
Indicates that there exists a footbridge providing a pedestrian connection between the related entities.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:35 p.m.