Triple
T31344852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puente de la Salve |
E799414
|
entity |
| Predicate | hasRedGatewayDesignedFor |
P203258
|
FINISHED |
| Object | integration with Guggenheim Museum |
—
|
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: integration with Guggenheim Museum | Statement: [Puente de la Salve, hasRedGatewayDesignedFor, integration with Guggenheim Museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRedGatewayDesignedFor Context triple: [Puente de la Salve, hasRedGatewayDesignedFor, integration with Guggenheim Museum]
-
A.
architectOfGateway
Indicates that one entity is the architect responsible for designing or creating a specific gateway associated with another entity.
-
B.
hasDesigned
Indicates that one entity is the creator or designer of another entity.
-
C.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
-
D.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
E.
hasDesignSide
Indicates that one entity is located on, associated with, or corresponds to a particular side or face of another entity’s design.
- F. None of above. chosen
Provenance (4 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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0143a4ab3c8190a240b0facfe130a9 |
completed | May 11, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_6a01426b2d4481908654bfa4a02c457d |
completed | May 11, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_6a0143a400f881909599405b47dc1c78 |
completed | May 11, 2026, 2:49 a.m. |
Created at: April 29, 2026, 9:17 p.m.