Triple
T19973713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diogenes of Apollonia |
E493631
|
entity |
| Predicate | DKNumber |
P138101
|
FINISHED |
| Object | 64 |
—
|
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: 64 | Statement: [Diogenes of Apollonia, DKNumber, 64]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DKNumber Context triple: [Diogenes of Apollonia, DKNumber, 64]
-
A.
number
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
B.
OJNumber
Indicates that an entity is assigned a specific official journal or case identification number used for tracking or reference.
-
C.
BDNumber
Indicates that an entity is associated with a specific BD (Business Development or similar domain-specific) identification number used to uniquely reference it.
-
D.
CMPNumber
Indicates a comparison relationship between two numerical values, specifying how one number relates to the other (e.g., equal, greater, or less).
-
E.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65bcb72048190aedb4f085ace0493 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:17 p.m.