Triple
T5869907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Hounds |
E130487
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
CHI
CHI is the standard sports abbreviation used to represent Chicago-based teams, in this case referring to the Chicago Hounds.
|
E550920
|
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: CHI | Statement: [Chicago Hounds, hasAbbreviation, CHI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CHI Context triple: [Chicago Hounds, hasAbbreviation, CHI]
-
A.
CHI
CHI is the premier international conference in human-computer interaction, showcasing cutting-edge research on how people interact with digital technologies.
-
B.
CHI
CHI is the Amtrak station code for Chicago Union Station, the primary intercity rail hub in Chicago, Illinois.
-
C.
Chicago
Chicago is a long-running, Tony Award–winning Broadway musical known for its jazz-influenced score, satirical take on crime and celebrity, and iconic Bob Fosse–style choreography.
-
D.
Chicago West
Chicago West is the daughter of American rapper and producer Kanye West and media personality Kim Kardashian.
-
E.
Windy City
Windy City is a popular nickname for Chicago, a major U.S. city on Lake Michigan known for its architecture, cultural institutions, and influential history in transportation and industry.
- 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: CHI Triple: [Chicago Hounds, hasAbbreviation, CHI]
Generated description
CHI is the standard sports abbreviation used to represent Chicago-based teams, in this case referring to the Chicago Hounds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CHI Target entity description: CHI is the standard sports abbreviation used to represent Chicago-based teams, in this case referring to the Chicago Hounds.
-
A.
CHI
CHI is the Amtrak station code for Chicago Union Station, the primary intercity rail hub in Chicago, Illinois.
-
B.
CHI
CHI is the premier international conference in human-computer interaction, showcasing cutting-edge research on how people interact with digital technologies.
-
C.
Chicago
Chicago is a long-running, Tony Award–winning Broadway musical known for its jazz-influenced score, satirical take on crime and celebrity, and iconic Bob Fosse–style choreography.
-
D.
Chicago West
Chicago West is the daughter of American rapper and producer Kanye West and media personality Kim Kardashian.
-
E.
Windy City
Windy City is a popular nickname for Chicago, a major U.S. city on Lake Michigan known for its architecture, cultural institutions, and influential history in transportation and industry.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035f6b8548190a58971b05869228d |
completed | March 22, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1d39dd081908d77ee82c24178cf |
completed | March 23, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69c0a223129081908288d90f7cf51668 |
completed | March 23, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a294ba748190a86ec8400df73237 |
completed | March 23, 2026, 2:16 a.m. |
Created at: March 22, 2026, 3:56 p.m.