Triple
T1901751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deal |
E37703
|
entity |
| Predicate | timeballTowerBuilt |
P33778
|
FINISHED |
| Object | 19th 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: 19th century | Statement: [Deal, timeballTowerBuilt, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeballTowerBuilt Context triple: [Deal, timeballTowerBuilt, 19th century]
-
A.
hasClockTower
Indicates that one entity possesses or features a clock tower as part of its structure or property.
-
B.
hasBellTower
Indicates that one entity (typically a building or structure) possesses or includes a bell tower as part of it.
-
C.
towerCompletedBefore
Indicates that the construction or completion of one tower occurred earlier in time than the construction or completion of another tower.
-
D.
towerSpireRebuilt
Indicates that the spire of a tower has been reconstructed or built again after being previously removed, damaged, or altered.
-
E.
towerName
Indicates the specific name assigned to a tower in the relationship.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafe9f8b0819086d8f6288511c66d |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb34c4a64819096e12b152b84c334 |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:35 p.m.