Triple
T31622973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anguilla anguilla |
E806944
|
entity |
| Predicate | silvering |
P172029
|
FINISHED |
| Object | develops silvery coloration before oceanic migration |
—
|
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: develops silvery coloration before oceanic migration | Statement: [Anguilla anguilla, silvering, develops silvery coloration before oceanic migration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: silvering Context triple: [Anguilla anguilla, silvering, develops silvery coloration before oceanic migration]
-
A.
silverContentStandard
Indicates the standard or required amount of silver content specified for something, such as a material, product, or item.
-
B.
silverWeight
Indicates the weight or mass of an entity measured specifically in silver.
-
C.
changedSilverContentOf
Indicates that one entity altered the amount or proportion of silver contained in another entity.
-
D.
higherSilverContentThan
Indicates that one entity has a greater amount or proportion of silver content than another entity.
-
E.
associatedMetal
Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
- 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a956e9b08190bf83547bba8e8147 |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8036ab481908019f2f071fa406e |
completed | May 3, 2026, 1:42 a.m. |
Created at: April 30, 2026, 10:42 p.m.