Triple
T27765021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlesinger & Mayer |
E701576
|
entity |
| Predicate | flagshipBuildingLocation |
P43977
|
FINISHED |
| Object | State Street, Chicago |
—
|
NE NERFINISHED |
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: State Street, Chicago | Statement: [Schlesinger & Mayer, flagshipBuildingLocation, State Street, Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipBuildingLocation Context triple: [Schlesinger & Mayer, flagshipBuildingLocation, State Street, Chicago]
-
A.
flagshipStationLocation
Indicates the location where an organization’s primary or flagship station is situated.
-
B.
emblematicBuildingLocation
Indicates that a building serves as a symbolic or representative landmark for a particular location or area.
-
C.
flagshipBuildingListedOn
Indicates that a particular flagship building is officially recorded or registered on a specified list or registry.
-
D.
flagshipStoreLocation
chosen
Indicates the location where an organization’s primary or most prominent store is situated.
-
E.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 4:30 p.m.