Triple
T3758798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabian oryx |
E82111
|
entity |
| Predicate | lifespanInTheWild |
P585
|
FINISHED |
| Object | about 15 to 18 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: about 15 to 18 years | Statement: [Arabian oryx, lifespanInTheWild, about 15 to 18 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifespanInTheWild Context triple: [Arabian oryx, lifespanInTheWild, about 15 to 18 years]
-
A.
lifePeriod
Indicates the span of time during which an entity exists, is active, or is valid.
-
B.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
C.
lifespan
chosen
Indicates the duration of time between an entity’s birth (or creation) and its death (or end).
-
D.
largestLiving
Indicates that the subject is the largest currently living instance of a given type or within a specified group or context.
-
E.
maximumRecordedLifespan
Indicates the greatest length of time that has ever been recorded for an individual of a given type to live.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc20b20819095fedf803aadc53a |
completed | March 8, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.