Triple
T1581532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highland Light |
E33772
|
entity |
| Predicate | currentTowerCompletedYear |
P32863
|
FINISHED |
| Object | 1857 |
—
|
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: 1857 | Statement: [Highland Light, currentTowerCompletedYear, 1857]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentTowerCompletedYear Context triple: [Highland Light, currentTowerCompletedYear, 1857]
-
A.
towerCompletedBefore
Indicates that the construction or completion of one tower occurred earlier in time than the construction or completion of another tower.
-
B.
yearCurrentTowerFirstLit
Indicates the calendar year in which the current tower was first illuminated or put into operation.
-
C.
spireCompletionYear
Indicates the year in which the spire of a structure was completed.
-
D.
hasTower
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
-
E.
originalCompletionYear
Indicates the year in which something (such as a project, work, or construction) was first fully completed.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69abacf991148190b20521c063f93bfd |
completed | March 7, 2026, 4:43 a.m. |
Created at: March 4, 2026, 7:27 p.m.