Triple
T9120976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 105 Victoria Street |
E218846
|
entity |
| Predicate | hasTargetCompletionYear |
P26643
|
FINISHED |
| Object | 2026 |
—
|
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: 2026 | Statement: [105 Victoria Street, hasTargetCompletionYear, 2026]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTargetCompletionYear Context triple: [105 Victoria Street, hasTargetCompletionYear, 2026]
-
A.
hasGoalYear
chosen
Indicates that an entity is associated with a specific target year by which a goal or objective is intended to be achieved.
-
B.
originalCompletionYear
Indicates the year in which something (such as a project, work, or construction) was first fully completed.
-
C.
workCompletionYear
Indicates the calendar year in which a particular work, project, or task was completed.
-
D.
spireCompletionYear
Indicates the year in which the spire of a structure was completed.
-
E.
upperLevelCompletionYear
Indicates the year in which an entity completed an upper-level stage of education, training, or qualification.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b32ba88190b2b4406c7b905cca |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:17 p.m.