Triple
T13536832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dom-Römer reconstruction project |
E323282
|
entity |
| Predicate | numberOfNewTraditionalStyleBuildings |
P110742
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [Dom-Römer reconstruction project, numberOfNewTraditionalStyleBuildings, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNewTraditionalStyleBuildings Context triple: [Dom-Römer reconstruction project, numberOfNewTraditionalStyleBuildings, 20]
-
A.
traditionallyBuiltOver
Indicates that one entity has been constructed on top of another in a manner consistent with long-established or customary building practices.
-
B.
traditionallyHouses
Indicates that one entity has historically or customarily served as the location or container for another entity.
-
C.
hasTraditionalHouseStyle
Indicates that an entity possesses or is characterized by a traditional style of house or residential architecture.
-
D.
eraOfManyBuildings
Indicates a time period during which many buildings were constructed or existed.
-
E.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified context.
- F. None of above. chosen
Provenance (4 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:45 p.m.