Triple
T94024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Industriales |
E1889
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
IND
IND is the abbreviated name commonly used for the Industriales baseball team, one of the most popular and successful clubs in Cuban baseball.
|
E7968
|
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: IND | Statement: [Industriales, shortName, IND]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IND Context triple: [Industriales, shortName, IND]
-
A.
IN
IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
-
B.
India
India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
-
C.
Indonesia
Indonesia is a large Southeast Asian nation made up of thousands of islands, known for its diverse cultures, significant natural resources, and status as one of the world’s largest emerging economies.
-
D.
NE
NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
-
E.
Hindi
Hindi is an Indo-Aryan language widely spoken across northern and central India and used in government, education, media, and popular culture.
- 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: IND Triple: [Industriales, shortName, IND]
Generated description
IND is the abbreviated name commonly used for the Industriales baseball team, one of the most popular and successful clubs in Cuban baseball.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IND Target entity description: IND is the abbreviated name commonly used for the Industriales baseball team, one of the most popular and successful clubs in Cuban baseball.
-
A.
IN
IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
-
B.
India
India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
-
C.
Indonesia
Indonesia is a large Southeast Asian nation made up of thousands of islands, known for its diverse cultures, significant natural resources, and status as one of the world’s largest emerging economies.
-
D.
NE
NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
-
E.
Hindi
Hindi is an Indo-Aryan language widely spoken across northern and central India and used in government, education, media, and popular culture.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24fd28e988190bde699647ee5b16b |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a262474440819093e075d5a009ee53 |
completed | Feb. 28, 2026, 3:34 a.m. |
| NEDg | Description generation | batch_69a262bec71481909b251923011ca502 |
completed | Feb. 28, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a263626b7c8190b53469d93ac604d9 |
completed | Feb. 28, 2026, 3:39 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.