Triple
T9651263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pangasiidae |
E233338
|
entity |
| Predicate | typeGenus |
P5980
|
FINISHED |
| Object | Pangasius |
E814537
|
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: Pangasius | Statement: [Pangasiidae, typeGenus, Pangasius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pangasius Context triple: [Pangasiidae, typeGenus, Pangasius]
-
A.
Pangasius
chosen
Pangasius is a genus of freshwater catfish native mainly to South and Southeast Asia, widely known for its importance in aquaculture and as a popular white-fleshed food fish.
-
B.
Ompok
Ompok is a genus of freshwater sheatfish known for their elongated bodies and importance in Asian inland fisheries.
-
C.
Bichir
Bichir is a Mexican acting family name most prominently associated with acclaimed actor Demián Bichir and his relatives in film and television.
-
D.
Kapong
Kapong is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in South America.
-
E.
Kapong
Kapong is a district-level administrative area located within Phang Nga Province in southern Thailand.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9baf9a1c819098c407ea7d42e6d1 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f6a7ddc8190b7e8add97b7dc257 |
completed | April 4, 2026, 11:31 p.m. |
Created at: March 30, 2026, 8:13 p.m.