Triple
T1528216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European starling |
E32382
|
entity |
| Predicate | maximumRecordedLifespanWild |
P585
|
FINISHED |
| Object | over 15 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: over 15 years | Statement: [European starling, maximumRecordedLifespanWild, over 15 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumRecordedLifespanWild Context triple: [European starling, maximumRecordedLifespanWild, over 15 years]
-
A.
maximumRecordedLength
Indicates the greatest length value that has been observed and recorded for the entity in question.
-
B.
lastKnownWildIndividuals
Indicates the most recent recorded individuals of a species that were observed living in the wild.
-
C.
largestLiving
Indicates that the subject is the largest currently living instance of a given type or within a specified group or context.
-
D.
lifespan
chosen
Indicates the duration of time between an entity’s birth (or creation) and its death (or end).
-
E.
maxCurrent
Indicates the maximum electric current that is allowed to flow through or be drawn by an entity under specified conditions.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.