Triple
T11646819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prater Tower |
E276795
|
entity |
| Predicate | isLocatedInUrbanPark |
P84800
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Prater Tower, isLocatedInUrbanPark, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInUrbanPark Context triple: [Prater Tower, isLocatedInUrbanPark, true]
-
A.
isUrbanPark
Indicates that a location is designated and used as a public park within an urban or metropolitan area.
-
B.
isUrbanParkAdjacent
Indicates that an urban park is directly next to or shares a boundary with another specified area or feature.
-
C.
isUrbanParkSystem
Indicates that an entity constitutes or belongs to a designated system or network of urban parks within a city or metropolitan area.
-
D.
locatedInParkVicinity
chosen
Indicates that an entity is situated in the area immediately surrounding or near a park.
-
E.
isUrbanOasisFor
Indicates a place serves as a refreshing, nature-rich retreat or sanctuary within an otherwise urban or heavily built-up environment for a given entity.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cc8bfc8190a063cc37de9596a9 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.