Triple
T4742634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radziejowa |
E105281
|
entity |
| Predicate | observationTowerMaterial |
P1272
|
FINISHED |
| Object | wood |
—
|
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: wood | Statement: [Radziejowa, observationTowerMaterial, wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationTowerMaterial Context triple: [Radziejowa, observationTowerMaterial, wood]
-
A.
observationTowerBuiltIn
Indicates that an observation tower was constructed within or during a specific location or time period.
-
B.
observationTowerDesign
Indicates a design relationship in which one entity serves as the architectural or structural design for an observation tower associated with another entity.
-
C.
isObservationTower
Indicates that something functions as an observation tower, serving primarily as a structure for viewing or monitoring an area from an elevated position.
-
D.
exteriorMaterial
Indicates the material that forms the outer surface or outer construction of an object or structure.
-
E.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a7153881909eac451fc7566d25 |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.