Triple
T27563311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence campus |
E695829
|
entity |
| Predicate | hasParentInstitutionHeadquartersIn |
P184359
|
FINISHED |
| Object | Pisa |
—
|
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: Pisa | Statement: [Florence campus, hasParentInstitutionHeadquartersIn, Pisa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentInstitutionHeadquartersIn Context triple: [Florence campus, hasParentInstitutionHeadquartersIn, Pisa]
-
A.
isHeadOfficeOf
Indicates that one entity serves as the main or central administrative office for another entity, typically overseeing its operations or branches.
-
B.
hasMonetaryAuthorityHeadquartersIn
Indicates that the headquarters or main offices of a monetary authority (such as a central bank or similar financial regulatory body) are located in a specified place.
-
C.
hasHeadquartersOn
Indicates that an organization’s main headquarters is located on a specified street, road, or similar thoroughfare.
-
D.
hasHeadquartersBuildingIn
Indicates that an organization’s main headquarters building is physically located in a specified place.
-
E.
hasHigherHeadquarters
Indicates that one organizational unit serves as the superior or parent headquarters overseeing another unit.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: April 27, 2026, 1:40 p.m.