Triple
T25391684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two International Place |
E636183
|
entity |
| Predicate | complexFunction |
P46874
|
FINISHED |
| Object | Class A office space |
—
|
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: Class A office space | Statement: [Two International Place, complexFunction, Class A office space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: complexFunction Context triple: [Two International Place, complexFunction, Class A office space]
-
A.
combinedFunction
Indicates that multiple functions or operations are brought together and applied as a single, unified function or process.
-
B.
PLEXFunction
Indicates a functional or operational role that one entity performs or serves for another within a system or context.
-
C.
hasFunctionInComplex
chosen
Indicates that an entity performs a specific functional role within a larger molecular or structural complex.
-
D.
conceptualFunction
Indicates a relationship where one entity serves as an abstract or conceptual function that operates on, transforms, or maps another entity within a conceptual or theoretical framework.
-
E.
actualFunction
Indicates that something serves as the real, operative function or role performed in practice, as opposed to a nominal or theoretical one.
- 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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f565719b788190bece84e6c21ebd38 |
completed | May 2, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:49 p.m.