Triple
T7614639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pikalov Bridge |
E172330
|
entity |
| Predicate | hasRailing |
P13116
|
FINISHED |
| Object | cast-iron railing |
—
|
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: cast-iron railing | Statement: [Pikalov Bridge, hasRailing, cast-iron railing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRailing Context triple: [Pikalov Bridge, hasRailing, cast-iron railing]
-
A.
hasHandrails
Indicates that an object, structure, or pathway is equipped with handrails for support or safety.
-
B.
hasBalustrades
chosen
Indicates that one entity features or is equipped with balustrades as part of its structure or design.
-
C.
hasParapet
Indicates that an object, structure, or area is equipped with or bounded by a parapet (a low protective wall or barrier along an edge).
-
D.
hasStairway
Indicates that one entity includes or is connected to another entity by a stairway providing vertical access between levels.
-
E.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa4392e881908ed1ab3f64b41600 |
completed | March 27, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.