Triple
T4690244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Organisation for Animal Health |
E104017
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | WOAH |
E462944
|
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: WOAH | Statement: [World Organisation for Animal Health, abbreviation, WOAH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WOAH Context triple: [World Organisation for Animal Health, abbreviation, WOAH]
-
A.
WOAH
chosen
WOAH is the acronym for the World Organisation for Animal Health, an intergovernmental body that sets international standards for animal health and welfare.
-
B.
Woah
"Woah" is a popular hip-hop single by American rapper Lil Baby known for its catchy hook and viral dance.
-
C.
Wo!!
Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
-
D.
Woohoo
"Woohoo" is an energetic, genre-blending pop track by Christina Aguilera featuring Nicki Minaj, known for its playful lyrics and bold, futuristic production.
-
E.
Whoa
"Whoa" is a song released as a single from the work titled "The Naked Truth."
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd639ae1c08190a1c79ccbdf5f24ac |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be105a709c819083504fe1dc1612d8 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:16 p.m.