Triple
T2641483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Colony Building |
E62875
|
entity |
| Predicate | useAfterRenovation |
P42452
|
FINISHED |
| Object | student residences and apartments |
—
|
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: student residences and apartments | Statement: [Old Colony Building, useAfterRenovation, student residences and apartments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: useAfterRenovation Context triple: [Old Colony Building, useAfterRenovation, student residences and apartments]
-
A.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
B.
renovationCompleted
Indicates that a renovation process for an entity has been fully finished and is no longer in progress.
-
C.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
-
D.
capacityAfterRenovation
Indicates the number of occupants or units a place can hold once renovation work has been completed.
-
E.
brokeGroundForRenovation
Indicates that an entity initiated construction work to renovate or significantly upgrade another entity or site.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fdc0bc8190b7fd102b87ee50d1 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd812849881908f956845a80e0205 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8abcc348190bfa05c0abc4bcee7 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:53 p.m.