Triple
T20696070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arremon |
E508661
|
entity |
| Predicate | containsTaxon |
P9413
|
FINISHED |
| Object | Arremon phygas |
—
|
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: Arremon phygas | Statement: [Arremon, containsTaxon, Arremon phygas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arremon phygas Context triple: [Arremon, containsTaxon, Arremon phygas]
-
A.
Arremon
chosen
Arremon is a genus of Neotropical sparrow-like birds known for their distinctive head patterns and association with forest undergrowth.
-
B.
Aramm
Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
-
C.
Aptoryama
Aptoryama is a specific Vedic soma sacrifice ritual recognized as a variant form of the Somayajna.
-
D.
Pagasae
Pagasae was an ancient coastal city and harbor in Thessaly, Greece, known as a key port on the Pagasetic Gulf in classical antiquity.
-
E.
Aruimi
Aruimi is an alternative name used for the Aruwimi River, a major tributary of the Congo River in central Africa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c1123d7c81908a1d16923437266d |
completed | April 21, 2026, 12:13 a.m. |
Created at: April 16, 2026, 12:10 p.m.