Triple
T13639784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labour and Welfare Bureau |
E325942
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
LWB
LWB is the official abbreviation for Hong Kong’s Labour and Welfare Bureau, the government body responsible for labour policy and social welfare matters.
|
E1052574
|
NE FINISHED |
How this triple was built (4 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: LWB | Statement: [Labour and Welfare Bureau, hasAbbreviation, LWB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LWB Context triple: [Labour and Welfare Bureau, hasAbbreviation, LWB]
-
A.
LW
LW is the station code used to identify Lawrence West station on Toronto's subway system.
-
B.
WB
WB is a major film and entertainment studio best known for producing and distributing movies, television shows, and other media worldwide.
-
C.
WB
WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
-
D.
WRB
WRB is the acronym for the War Refugee Board, a U.S. government agency established during World War II to aid civilian victims of the Nazis.
-
E.
WRB
WRB is the IATA airport code for Robins Air Force Base in Georgia, United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LWB Triple: [Labour and Welfare Bureau, hasAbbreviation, LWB]
Generated description
LWB is the official abbreviation for Hong Kong’s Labour and Welfare Bureau, the government body responsible for labour policy and social welfare matters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LWB Target entity description: LWB is the official abbreviation for Hong Kong’s Labour and Welfare Bureau, the government body responsible for labour policy and social welfare matters.
-
A.
LW
LW is the station code used to identify Lawrence West station on Toronto's subway system.
-
B.
WB
WB is a major film and entertainment studio best known for producing and distributing movies, television shows, and other media worldwide.
-
C.
WB
WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
-
D.
WRB
WRB is the acronym for the War Refugee Board, a U.S. government agency established during World War II to aid civilian victims of the Nazis.
-
E.
WRB
WRB is the IATA airport code for Robins Air Force Base in Georgia, United States.
- F. None of above. chosen
Provenance (5 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5aac7308190a3fd26baeade8f2a |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af46fe481909c6f9a6f58f887d1 |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78bd316788190a245e8199f6ac87b |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78c94da6c8190b9bc1d04cee19c3c |
completed | May 3, 2026, 5:57 p.m. |
Created at: April 9, 2026, 9:51 p.m.