Triple
T6937341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zagreb Cathedral |
E160585
|
entity |
| Predicate | heightOfHighestSpires_m |
P43259
|
FINISHED |
| Object | approximately 108 |
—
|
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: approximately 108 | Statement: [Zagreb Cathedral, heightOfHighestSpires_m, approximately 108]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfHighestSpires_m Context triple: [Zagreb Cathedral, heightOfHighestSpires_m, approximately 108]
-
A.
buildingHeight
Indicates the vertical extent or height measurement of a building.
-
B.
buildingHeightContext
Indicates the contextual or situational factors under which a building’s height is defined, measured, or interpreted.
-
C.
buildingHeightCharacteristic
chosen
Indicates the specific height-related property or measurement that characterizes a building.
-
D.
rankInCityByHeight
Indicates the relative ordering of entities within a specific city based on their height, such as which is tallest, second tallest, and so on.
-
E.
highestPyramidHeight
Indicates the maximum vertical height reached by any pyramid in a given context or set.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:27 p.m.