Triple
T4330646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manouria tortoises |
E96738
|
entity |
| Predicate | lifespanCharacteristic |
P40326
|
FINISHED |
| Object | long-lived |
—
|
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: long-lived | Statement: [Manouria tortoises, lifespanCharacteristic, long-lived]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifespanCharacteristic Context triple: [Manouria tortoises, lifespanCharacteristic, long-lived]
-
A.
lifespan
Indicates the duration of time between an entity’s birth (or creation) and its death (or end).
-
B.
lifePeriod
Indicates the span of time during which an entity exists, is active, or is valid.
-
C.
biologicalCharacteristic
chosen
Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to another.
-
D.
deathAge
Indicates the age at which an entity dies or is expected to die.
-
E.
demographicsCharacteristic
Indicates that one entity serves as a demographic attribute or characteristic (such as age, gender, ethnicity, etc.) that describes or classifies another entity.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.