Triple
T32672508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonino Lamborghini |
E835334
|
entity |
| Predicate | headquartersLocationOfFoundedBrand |
P129092
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [Tonino Lamborghini, headquartersLocationOfFoundedBrand, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headquartersLocationOfFoundedBrand Context triple: [Tonino Lamborghini, headquartersLocationOfFoundedBrand, Italy]
-
A.
headquartersLocationOfBrand
chosen
Indicates the place where a brand’s main corporate or administrative headquarters is located.
-
B.
headquartersLocationOfFoundedCompany
Indicates that a specific place serves as the headquarters location of a company that was founded there.
-
C.
headquartersLocationOfFoundedOrganization
Indicates that a location serves as the headquarters of an organization that was founded there.
-
D.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
E.
headquartersFoundedAt
Indicates that an organization's headquarters was originally established at a specific location.
- 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_69f3493134b48190aa3c8cb523bd3800 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:09 a.m.