Triple
T34536808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Square |
E886690
|
entity |
| Predicate | designerOfStreetLamps |
P184
|
FINISHED |
| Object | Antoni Gaudí |
—
|
NE NERFINISHED |
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: Antoni Gaudí | Statement: [Royal Square, designerOfStreetLamps, Antoni Gaudí]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designerOfStreetLamps Context triple: [Royal Square, designerOfStreetLamps, Antoni Gaudí]
-
A.
lanternDesign
Indicates a relationship where one entity is responsible for the design, style, or pattern of a lantern associated with another entity.
-
B.
lightingOfLampsSignifies
Indicates that the act of lighting lamps serves as a sign, symbol, or marker of a particular event, state, or significance.
-
C.
designedBy
chosen
Indicates that one entity is the creator, planner, or architect responsible for the form or structure of another entity.
-
D.
urbanDesigner
Indicates a relationship where an entity practices or is responsible for planning and designing urban spaces, environments, or city layouts.
-
E.
hasStreetFurniture
Indicates that a location or area contains installed public fixtures such as benches, lamps, bins, or similar street furniture.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fef2db323c8190821bda53f22a42be |
completed | May 9, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69fef21d63c88190abf6a99b59b3c655 |
completed | May 9, 2026, 8:36 a.m. |
Created at: May 1, 2026, 2:02 a.m.