Triple
T33390198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erilepis zonifer |
E855022
|
entity |
| Predicate | livesInWaterColumn |
P176847
|
FINISHED |
| Object | near-bottom |
—
|
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: near-bottom | Statement: [Erilepis zonifer, livesInWaterColumn, near-bottom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: livesInWaterColumn Context triple: [Erilepis zonifer, livesInWaterColumn, near-bottom]
-
A.
livesInWaterType
Indicates that an entity inhabits or primarily lives in a specified type or category of water environment.
-
B.
isAquatic
Indicates that an entity primarily lives in or is adapted to water environments.
-
C.
livesInWaterTemperature
Indicates that an entity inhabits or exists in water characterized by a specific temperature or temperature range.
-
D.
locatedInWaterBodyType
Indicates that an entity is situated within or on a body of water of a specified type (e.g., lake, river, ocean).
-
E.
oceanPresence
Indicates that an entity is located in, adjacent to, or significantly influenced by an ocean.
- 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6f37f36ac8190b1bff8711d6771cb |
completed | May 3, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:35 a.m.