Triple
T21081832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YouTube headquarters |
E519387
|
entity |
| Predicate | platformHeadquartered |
P62
|
FINISHED |
| Object | YouTube video-sharing platform |
—
|
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: YouTube video-sharing platform | Statement: [YouTube headquarters, platformHeadquartered, YouTube video-sharing platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformHeadquartered Context triple: [YouTube headquarters, platformHeadquartered, YouTube video-sharing platform]
-
A.
employerHeadquarters
Indicates the location where an employer’s main corporate offices or central administrative operations are based.
-
B.
majorCompanyHeadquartered
Indicates that a company is a primary or significant corporate entity whose main headquarters is located in a specified place.
-
C.
headquarteredWith
Indicates that two entities share the same headquarters location.
-
D.
headquartersLocation
chosen
Indicates the place where an organization’s main administrative center or principal office is located.
-
E.
campaignHeadquartersLocation
Indicates the specific place where a political or organizational campaign’s main headquarters 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702db430c81908a1547d8fbe45506 |
completed | April 21, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:49 p.m.