Triple
T5268784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominus Flevit Church |
E119203
|
entity |
| Predicate | eraOfCurrentBuilding |
P22153
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Dominus Flevit Church, eraOfCurrentBuilding, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfCurrentBuilding Context triple: [Dominus Flevit Church, eraOfCurrentBuilding, 20th century]
-
A.
eraOfMajorConstruction
chosen
Indicates the time period during which the primary or most significant phase of construction for an entity took place.
-
B.
currentBuilding
Indicates that an entity is located in, associated with, or belongs to the building that is relevant in the current context.
-
C.
buildingCurrentName
Indicates the name currently used to refer to a given building.
-
D.
buildingLevels
Indicates the number of floors or levels that a building has.
-
E.
currentTowerCompletedYear
Indicates the year in which the currently existing or latest version of the tower was completed.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.