Triple
T15580510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chimango caracara |
E374481
|
entity |
| Predicate | binomialName |
P569
|
FINISHED |
| Object | Milvago chimango |
E1164729
|
NE 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: Milvago chimango | Statement: [chimango caracara, binomialName, Milvago chimango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milvago chimango Context triple: [chimango caracara, binomialName, Milvago chimango]
-
A.
Milvago
chosen
Milvago is a genus of small to medium-sized Neotropical caracaras, a type of falconid bird of prey found primarily in South America.
-
B.
Mbághirmi
Mbághirmi is a Central Sudanic language spoken primarily in southern Chad by the Bagirmi people.
-
C.
Miiduranna
Miiduranna is a coastal village in northern Estonia, located near Tallinn on the Viimsi Peninsula.
-
D.
Swallow
Swallow is the Allied reporting name for the Japanese World War II fighter aircraft Kawasaki Ki-61, known for its inline engine and resemblance to contemporary European fighters.
-
E.
Swallow
Swallow is a 2019 psychological thriller film in which Haley Bennett stars as a newly pregnant woman who develops a dangerous compulsion to swallow inedible objects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e24064c8190b132c3092877fbfa |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c3efb48190ad94d9d326c6c2c0 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:11 a.m.