Triple
T19261593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menkent |
E481660
|
entity |
| Predicate | hasAge_Gyr |
P62450
|
FINISHED |
| Object | a few billion years |
—
|
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: a few billion years | Statement: [Menkent, hasAge_Gyr, a few billion years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAge_Gyr Context triple: [Menkent, hasAge_Gyr, a few billion years]
-
A.
hasAge
Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
-
B.
ageInGyr
chosen
Indicates the age of an entity expressed in billions of years (gigayears).
-
C.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
D.
mayBeAgedIn
Indicates that an entity has the potential or option to undergo an aging or maturation process in a specified medium, container, or environment.
-
E.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8a022c8190b313e9d11d38e482 |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:28 p.m.