Triple
T921502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Wildlife Fund |
E19893
|
entity |
| Predicate | hasMemberOrganization |
P12024
|
FINISHED |
| Object | WWF-China |
E55558
|
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: WWF-China | Statement: [World Wildlife Fund, hasMemberOrganization, WWF-China]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WWF-China Context triple: [World Wildlife Fund, hasMemberOrganization, WWF-China]
-
A.
WWF
chosen
WWF (World Wide Fund for Nature) is a leading international conservation organization focused on protecting endangered species, preserving natural habitats, and addressing global environmental challenges such as climate change.
-
B.
WCH
WCH is the abbreviation for the World Cup of Hockey, an international best-on-best ice hockey tournament featuring top national teams.
-
C.
WHA
WHA is the commonly used abbreviation for the World Health Assembly, the decision-making body of the World Health Organization.
-
D.
WHA
WHA is the commonly used abbreviation for the U.S. Department of State’s Bureau of Western Hemisphere Affairs, which manages American diplomatic relations and policy in the Americas.
-
E.
WUH
WUH is the IATA airport code for Wuhan Tianhe International Airport, the main air gateway serving Wuhan in central China.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b313cb908190ad78b3a54e4f2eb7 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf6486d88190b53cd743b08eef33 |
completed | March 4, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:40 p.m.