Triple
T7090819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Church (Delft) |
E165188
|
entity |
| Predicate | towerRankInNetherlands |
P31595
|
FINISHED |
| Object | one of the tallest church towers in the Netherlands |
—
|
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: one of the tallest church towers in the Netherlands | Statement: [New Church (Delft), towerRankInNetherlands, one of the tallest church towers in the Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerRankInNetherlands Context triple: [New Church (Delft), towerRankInNetherlands, one of the tallest church towers in the Netherlands]
-
A.
towerCount
Indicates the number of towers associated with or present in a given entity or context.
-
B.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
C.
rankAmongTallestBuildings
chosen
Indicates that one building is among the tallest buildings within a specified group, area, or category.
-
D.
towerLocation
Indicates that a tower is located at, or associated with, a specific place or geographic location.
-
E.
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.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e53012b081908bf40541d85c82f1 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.