Triple
T34575837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Executive Officer of PetMeds |
E887748
|
entity |
| Predicate | jurisdictionOfEmployer |
P79449
|
FINISHED |
| Object | NASDAQ: PETS |
—
|
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: NASDAQ: PETS | Statement: [Chief Executive Officer of PetMeds, jurisdictionOfEmployer, NASDAQ: PETS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jurisdictionOfEmployer Context triple: [Chief Executive Officer of PetMeds, jurisdictionOfEmployer, NASDAQ: PETS]
-
A.
jurisdictionOfEmployment
Indicates the legal or geographic jurisdiction under whose laws or authority an employment relationship is established or governed.
-
B.
organizationJurisdiction
chosen
Indicates the legal or administrative area (such as a country, state, or city) within whose authority an organization operates or is governed.
-
C.
definedJurisdictionOf
Indicates that one entity formally establishes or specifies the scope, boundaries, or authority of another entity’s jurisdiction.
-
D.
countryOfJurisdiction
Indicates the country whose legal authority or jurisdiction governs or applies to a given entity, action, or arrangement.
-
E.
countryOfHeadquartersOfEmployer
Indicates the country where the employing organization’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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:03 a.m.