Triple
T3703769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington State Cougars |
E80841
|
entity |
| Predicate | hasStudentSectionName |
P13219
|
FINISHED |
| Object |
ZZU CRU
ZZU CRU is the official, highly spirited student fan section that supports Washington State University Cougars athletic teams.
|
E382358
|
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: ZZU CRU | Statement: [Washington State Cougars, hasStudentSectionName, ZZU CRU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZZU CRU Context triple: [Washington State Cougars, hasStudentSectionName, ZZU CRU]
-
A.
ZTU
ZTU is the IATA station code assigned to a specific passenger rail station in Miami, Florida, used for ticketing and travel logistics.
-
B.
ZUEL
ZUEL is a prominent Chinese university specializing in economics, law, and related social sciences, located in Wuhan, Hubei Province.
-
C.
ZCHS
ZCHS is a public high school serving the Zionsville, Indiana community, known for its strong academics and extracurricular programs.
-
D.
ZUE
ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
-
E.
SCUT
SCUT is a major public research university in Guangzhou, China, known for its strong engineering, technology, and applied science programs.
- 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: ZZU CRU Triple: [Washington State Cougars, hasStudentSectionName, ZZU CRU]
Generated description
ZZU CRU is the official, highly spirited student fan section that supports Washington State University Cougars athletic teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZZU CRU Target entity description: ZZU CRU is the official, highly spirited student fan section that supports Washington State University Cougars athletic teams.
-
A.
ZTU
ZTU is the IATA station code assigned to a specific passenger rail station in Miami, Florida, used for ticketing and travel logistics.
-
B.
ZUEL
ZUEL is a prominent Chinese university specializing in economics, law, and related social sciences, located in Wuhan, Hubei Province.
-
C.
ZCHS
ZCHS is a public high school serving the Zionsville, Indiana community, known for its strong academics and extracurricular programs.
-
D.
ZUE
ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
-
E.
SCUT
SCUT is a major public research university in Guangzhou, China, known for its strong engineering, technology, and applied science programs.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54aaac88190b775dba2513b6d4a |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdf822348190bf95f7d119c6265a |
completed | March 14, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69b4d1f486c48190b0206beb7f913eb0 |
completed | March 14, 2026, 3:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4d29d8b688190b6ece3d8d65bc16c |
completed | March 14, 2026, 3:14 a.m. |
Created at: March 8, 2026, 3:33 p.m.