Triple
T17313938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organon model of language |
E420371
|
entity |
| Predicate | representationFunctionAlsoCalled |
P126943
|
FINISHED |
| Object | symbolic function |
—
|
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: symbolic function | Statement: [Organon model of language, representationFunctionAlsoCalled, symbolic function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representationFunctionAlsoCalled Context triple: [Organon model of language, representationFunctionAlsoCalled, symbolic function]
-
A.
calledAs
Indicates that one entity is referred to, named, or addressed by another specific name or label.
-
B.
calledBy
Indicates that one entity initiates a call or invocation to another entity.
-
C.
associatedFunction
Indicates that one entity has a related or linked function that is conceptually or operationally connected to it.
-
D.
regionAlsoCalled
Indicates that a geographic or administrative region is known by an alternative name or alias.
-
E.
callsFor
Indicates that one entity requires, demands, or requests the occurrence of another action, condition, or entity.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399b4dcc8190996d79d04ba88795 |
completed | April 19, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.