Triple
T30916948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | martial eagle |
E787605
|
entity |
| Predicate | generationLength |
P170296
|
FINISHED |
| Object | long-lived species |
—
|
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 species | Statement: [martial eagle, generationLength, long-lived species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generationLength Context triple: [martial eagle, generationLength, long-lived species]
-
A.
generationTime
Indicates the point in time at which something is created, produced, or brought into existence.
-
B.
generationDimension
Indicates a relationship where one entity specifies or constrains the dimensional characteristics (such as size, scale, or extent) used in the generation or creation of another entity.
-
C.
generationCount
Indicates the number of times a process, entity, or version has been created, iterated, or regenerated within a sequence or lifecycle.
-
D.
lifetimeInGenerations
Indicates the number of successive generations over which something (e.g., an effect, trait, or validity) persists or remains applicable.
-
E.
generationOf
Indicates that one entity is the origin, creator, or producer of another entity.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f692b251048190ba55b32cac9caf7a |
completed | May 3, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68c517f308190873c1c7e05a0c6d0 |
completed | May 2, 2026, 11:44 p.m. |
Created at: April 29, 2026, 8:51 p.m.