Triple
T12935257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U-23 Baseball World Cup |
E309490
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
U-23 BWC
U-23 BWC is an international baseball tournament organized by the World Baseball Softball Confederation for national teams composed of players under 23 years old.
|
E1012041
|
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: U-23 BWC | Statement: [U-23 Baseball World Cup, abbreviation, U-23 BWC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U-23 BWC Context triple: [U-23 Baseball World Cup, abbreviation, U-23 BWC]
-
A.
U-20
U-20 was a German World War I U-boat best known for sinking the British ocean liner RMS Lusitania in 1915.
-
B.
U-20
U-20 is the FIFA code used to represent the New Zealand under-20 national football team in international competitions and records.
-
C.
UWC-136
UWC-136 is a mobile telecommunications standard within the IMT-2000 family designed to support third-generation (3G) wireless services.
-
D.
US-2
The US-2 is a Japanese amphibious search-and-rescue aircraft designed and built by ShinMaywa for long-range maritime rescue operations.
-
E.
Ibuki-2
Ibuki-2 is a Japanese Earth observation satellite dedicated to monitoring greenhouse gases and contributing to climate change research.
- 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: U-23 BWC Triple: [U-23 Baseball World Cup, abbreviation, U-23 BWC]
Generated description
U-23 BWC is an international baseball tournament organized by the World Baseball Softball Confederation for national teams composed of players under 23 years old.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: U-23 BWC Target entity description: U-23 BWC is an international baseball tournament organized by the World Baseball Softball Confederation for national teams composed of players under 23 years old.
-
A.
U-20
U-20 was a German World War I U-boat best known for sinking the British ocean liner RMS Lusitania in 1915.
-
B.
U-20
U-20 is the FIFA code used to represent the New Zealand under-20 national football team in international competitions and records.
-
C.
UWC-136
UWC-136 is a mobile telecommunications standard within the IMT-2000 family designed to support third-generation (3G) wireless services.
-
D.
US-2
The US-2 is a Japanese amphibious search-and-rescue aircraft designed and built by ShinMaywa for long-range maritime rescue operations.
-
E.
Ibuki-2
Ibuki-2 is a Japanese Earth observation satellite dedicated to monitoring greenhouse gases and contributing to climate change research.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc76d688190bd58a23351373666 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6d16388190abc848ac67bf1fb9 |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b08df448819080c0a7b0921bcc9f |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b121fdb881909a9a321794a3b8f1 |
completed | May 3, 2026, 2:21 a.m. |
Created at: April 9, 2026, 5:42 p.m.