Triple
T15211971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colchic rainforest |
E363536
|
entity |
| Predicate | hasFauna |
P950
|
FINISHED |
| Object | wolf (Canis lupus) |
E512197
|
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: wolf (Canis lupus) | Statement: [Colchic rainforest, hasFauna, wolf (Canis lupus)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: wolf (Canis lupus) Context triple: [Colchic rainforest, hasFauna, wolf (Canis lupus)]
-
A.
Canis lupus
chosen
Canis lupus is the gray wolf, a large social canid native to the Northern Hemisphere and the wild ancestor of the domestic dog.
-
B.
Wolf
Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
-
C.
Wolf
Wolf is a song by American singer Miguel from his album "War & Leisure."
-
D.
Wolf
Wolf is a 2013 studio album by American rapper and producer Tyler, the Creator, known for its eclectic production and introspective, narrative-driven lyrics.
-
E.
Wolf
Wolf is a brash, foul-mouthed, and often clueless time-traveling soldier who serves as one of the main comedic characters in the sci-fi TV series "Future Man."
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076c9e2481909d7a464b2172f4bf |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed341cfb8819086b386c6cb905eda |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.