Triple
T17597426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trichinellida |
E428609
|
entity |
| Predicate | class |
P87
|
FINISHED |
| Object | Enoplea |
E1273699
|
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: Enoplea | Statement: [Trichinellida, class, Enoplea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enoplea Context triple: [Trichinellida, class, Enoplea]
-
A.
Enoplea
chosen
Enoplea is a class of nematode worms that includes many parasitic species infecting a wide range of animal hosts.
-
B.
Novellara
Novellara is a historic town in northern Italy’s Emilia-Romagna region, known for its Renaissance heritage and agricultural traditions.
-
C.
Telaria
Telaria was a video advertising and monetization technology company specializing in connected TV and premium video inventory.
-
D.
Nolcorp
Nolcorp is a powerful fictional tech corporation in the TV series "Revenge," founded and led by the brilliant hacker-entrepreneur Nolan Ross.
-
E.
Erixx
Erixx is a regional railway company in Germany that operates local passenger train services in Lower Saxony and surrounding areas.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ecfb108190a9e7a5b380f8ab93 |
completed | April 19, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e819cec88190b79a7e5c1ced3e18 |
completed | May 11, 2026, 2:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.