Triple
T26172072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guggenheim Securities |
E654432
|
entity |
| Predicate | parentOrganizationHeadquartersLocation |
P61889
|
FINISHED |
| Object | New York City |
—
|
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: New York City | Statement: [Guggenheim Securities, parentOrganizationHeadquartersLocation, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentOrganizationHeadquartersLocation Context triple: [Guggenheim Securities, parentOrganizationHeadquartersLocation, New York City]
-
A.
hasOrganizationHeadquarters
Indicates that an organization’s main administrative or operational center is located at a specific place.
-
B.
hasOrganizationHeadquartered
chosen
Indicates that an organization has its main headquarters located in a specified place.
-
C.
headquartersLocationOfFoundedOrganization
Indicates that a location serves as the headquarters of an organization that was founded there.
-
D.
headquartersSuccessorOrganizationLocation
Indicates that the location served as the headquarters for a successor organization that followed a previous entity.
-
E.
organizationTypeHeadquartered
Indicates that an organization of a specified type has its headquarters located in a particular place.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 26, 2026, 8:35 p.m.