Triple
T29510117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zildjian Cymbals |
E748624
|
entity |
| Predicate | oneOfOldestCompaniesInWorld |
P58759
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Zildjian Cymbals, oneOfOldestCompaniesInWorld, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfOldestCompaniesInWorld Context triple: [Zildjian Cymbals, oneOfOldestCompaniesInWorld, true]
-
A.
oneOfOldestManufacturersIn
Indicates that an entity is among the earliest-established manufacturers operating within a specified location or region.
-
B.
oneOfTheOldestOn
chosen
Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
-
C.
isOneOfOldestFranchisesIn
Indicates that an entity is among the earliest-established or longest-running franchises within a specified group, category, or region.
-
D.
businessDivisionFounded
Indicates that a specific business division was established or created at a particular point in time or by a particular founding event.
-
E.
oneOfOldestCities
Indicates that the subject is among the oldest cities within a specified group, region, or context.
- 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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 4:31 p.m.