Triple
T2896436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hancock Tower, Boston |
E63949
|
entity |
| Predicate | engineeringRemedy |
P4524
|
FINISHED |
| Object | replacement and redesign of glass panels |
—
|
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: replacement and redesign of glass panels | Statement: [John Hancock Tower, Boston, engineeringRemedy, replacement and redesign of glass panels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engineeringRemedy Context triple: [John Hancock Tower, Boston, engineeringRemedy, replacement and redesign of glass panels]
-
A.
remedy
chosen
Indicates that one entity serves to cure, alleviate, or counteract a problem, illness, or undesirable condition affecting another entity.
-
B.
engineeringFeature
Indicates that one entity serves as an engineering-related feature, component, or characteristic of another entity within a technical or designed system.
-
C.
engine
Indicates a relationship where something functions as, contains, or is driven by an engine as its source of mechanical power or propulsion.
-
D.
repairedIn
Indicates that an item or object underwent repair within a specified location or during a particular time period.
-
E.
laterEngineer
Indicates that one entity becomes an engineer at a later time than another entity.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe08c85c48190bd8c0f6680fca0c8 |
completed | March 7, 2026, 8:23 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:08 p.m.