Triple
T36554952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuiviénen |
E901676
|
entity |
| Predicate | statusByFirstAge |
P200779
|
FINISHED |
| Object | location uncertain |
—
|
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: location uncertain | Statement: [Cuiviénen, statusByFirstAge, location uncertain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusByFirstAge Context triple: [Cuiviénen, statusByFirstAge, location uncertain]
-
A.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
-
B.
statusInThirdAge
Indicates the role, condition, or standing an entity has during the Third Age period.
-
C.
ageStatusDuringExperiment
Indicates the age-related status or category an entity had at the time the experiment was conducted.
-
D.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
E.
standAge
Indicates the age or time duration that a particular stand (e.g., a forest stand or grouped vegetation area) has existed or been established.
- 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffac35ac5481908b6bdfd5bbe8c76e |
completed | May 9, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69ffabbfd2548190964c851496bbbaee |
completed | May 9, 2026, 9:48 p.m. |
| PDg | Predicate description generation | batch_69ffac34c5948190be36de5781d91da3 |
completed | May 9, 2026, 9:50 p.m. |
Created at: May 3, 2026, 4:11 p.m.