Triple
T8551611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | forest guineafowl |
E202456
|
entity |
| Predicate | genus |
P87
|
FINISHED |
| Object | Guttera |
E46684
|
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: Guttera | Statement: [forest guineafowl, genus, Guttera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guttera Context triple: [forest guineafowl, genus, Guttera]
-
A.
Guttera
chosen
Guttera is a genus of guineafowl known for its distinctive crested head and spotted plumage, native to sub-Saharan Africa.
-
B.
Gudia
Gudia is an Indian film directed by acclaimed filmmaker Goutam Ghose, known for its sensitive storytelling and exploration of complex social and emotional themes.
-
C.
Ganta
Ganta is a major commercial hub and rapidly growing city in northeastern Liberia, located near the border with Guinea.
-
D.
Rauco
Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
-
E.
Anaguta
Anaguta is a Plateau language spoken by the Anaguta people in and around Jos in central Nigeria.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe886fb788190a73e7c76c4f86409 |
completed | March 31, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb7b60d88190a22ebf69696cd8e5 |
completed | April 2, 2026, 6:54 p.m. |
Created at: March 30, 2026, 6:19 p.m.