Triple
T36829381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Şahsiyet |
E910095
|
entity |
| Predicate | hasAgeRelatedTheme |
P157220
|
FINISHED |
| Object | old age |
—
|
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: old age | Statement: [Şahsiyet, hasAgeRelatedTheme, old age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAgeRelatedTheme Context triple: [Şahsiyet, hasAgeRelatedTheme, old age]
-
A.
typicalAgingIndication
Indicates that something serves as a sign or marker commonly associated with the normal process of aging.
-
B.
hasAgeSignificance
chosen
Indicates that something holds particular importance, relevance, or meaning specifically due to its age or the age of an associated entity.
-
C.
isSelfAwareOfAging
Indicates that an entity recognizes and understands its own process of aging.
-
D.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
E.
mayBeAgedIn
Indicates that an entity has the potential or option to undergo an aging or maturation process in a specified medium, container, or environment.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.