Triple
T36703286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skiffia francesae |
E906287
|
entity |
| Predicate | isEndemicFreshwaterFishOf |
P178908
|
FINISHED |
| Object | Mexico |
—
|
NE NERFINISHED |
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: Mexico | Statement: [Skiffia francesae, isEndemicFreshwaterFishOf, Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEndemicFreshwaterFishOf Context triple: [Skiffia francesae, isEndemicFreshwaterFishOf, Mexico]
-
A.
isSharedFreshwaterResourceOf
Indicates that a freshwater resource (such as a river, lake, or aquifer) is jointly used, managed, or claimed by multiple parties (e.g., states, regions, or communities).
-
B.
receivesFreshwaterFrom
Indicates that one entity is supplied with or obtains freshwater from another entity as its source.
-
C.
nativeFish
chosen
Indicates that the fish species is originally from, and naturally occurs in, the specified geographic area or ecosystem.
-
D.
isFreshwaterBody
Indicates that the referenced body of water consists primarily of non-saline (fresh) water rather than saltwater.
-
E.
isAquatic
Indicates that an entity primarily lives in or is adapted to water environments.
- 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c80d4ba48190bf6beb2c9b108be1 |
completed | May 3, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.