Triple
T886132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anaheim Ducks |
E19133
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ANA
ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
|
E104594
|
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: ANA | Statement: [Anaheim Ducks, abbreviation, ANA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANA Context triple: [Anaheim Ducks, abbreviation, ANA]
-
A.
AN
AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
-
B.
ANC
ANC is the unified tri-service military command of India responsible for the defense and security of the Andaman and Nicobar Islands.
-
C.
ANC
ANC is the commonly used abbreviation for the Air Navigation Commission, a technical body of the International Civil Aviation Organization responsible for developing global aviation standards and recommended practices.
-
D.
AMA
AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
-
E.
ARN
ARN is the three-letter IATA airport code for Stockholm Arlanda Airport, the main international gateway to Stockholm and one of Sweden’s busiest airports.
- 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: ANA Triple: [Anaheim Ducks, abbreviation, ANA]
Generated description
ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ANA Target entity description: ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
-
A.
AN
AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
-
B.
ANC
ANC is the unified tri-service military command of India responsible for the defense and security of the Andaman and Nicobar Islands.
-
C.
ANC
ANC is the commonly used abbreviation for the Air Navigation Commission, a technical body of the International Civil Aviation Organization responsible for developing global aviation standards and recommended practices.
-
D.
AMA
AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
-
E.
ARN
ARN is the three-letter IATA airport code for Stockholm Arlanda Airport, the main international gateway to Stockholm and one of Sweden’s busiest airports.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ace714ec81909b0b1deaeac66be5 |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c01f00f48190b954db4a0cb5baa8 |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c088506c81908a9e8ac91cb5b69d |
completed | March 4, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c10c8c2881908a739fe824b48782 |
completed | March 4, 2026, 5:20 a.m. |
Created at: March 1, 2026, 7:39 p.m.