Triple
T1578479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Signature Lounge at the 96th |
E33707
|
entity |
| Predicate | buildingCurrentName |
P32820
|
FINISHED |
| Object | 875 North Michigan Avenue |
—
|
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: 875 North Michigan Avenue | Statement: [The Signature Lounge at the 96th, buildingCurrentName, 875 North Michigan Avenue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingCurrentName Context triple: [The Signature Lounge at the 96th, buildingCurrentName, 875 North Michigan Avenue]
-
A.
mainBuildingName
Indicates the name that is designated as the primary or main building associated with an entity.
-
B.
openedAsCurrentBuilding
Indicates that an entity began operating or was inaugurated in its current building or physical premises.
-
C.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
D.
buildingComplex
Indicates a relationship where multiple buildings are grouped and function together as a single integrated complex.
-
E.
builtNear
Indicates that one entity was constructed at a location geographically close to another entity.
- 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.