Triple
T5866467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonzaga Bulldogs men's basketball |
E130405
|
entity |
| Predicate | teamAbbreviation |
P43
|
FINISHED |
| Object |
ZAGS
ZAGS is the common nickname and abbreviation for the Gonzaga University Bulldogs men's basketball team, a prominent NCAA Division I program known for its sustained national success.
|
E550499
|
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: ZAGS | Statement: [Gonzaga Bulldogs men's basketball, teamAbbreviation, ZAGS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZAGS Context triple: [Gonzaga Bulldogs men's basketball, teamAbbreviation, ZAGS]
-
A.
ZAG
ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
-
B.
Zyuzino
Zyuzino is a Moscow Metro station on the Big Circle Line serving the Zyuzino District in southern Moscow.
-
C.
ZG
ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
-
D.
Zemba
Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
-
E.
Zinovy
Zinovy is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
- 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: ZAGS Triple: [Gonzaga Bulldogs men's basketball, teamAbbreviation, ZAGS]
Generated description
ZAGS is the common nickname and abbreviation for the Gonzaga University Bulldogs men's basketball team, a prominent NCAA Division I program known for its sustained national success.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZAGS Target entity description: ZAGS is the common nickname and abbreviation for the Gonzaga University Bulldogs men's basketball team, a prominent NCAA Division I program known for its sustained national success.
-
A.
ZAG
ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
-
B.
Zyuzino
Zyuzino is a Moscow Metro station on the Big Circle Line serving the Zyuzino District in southern Moscow.
-
C.
ZG
ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
-
D.
Zemba
Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
-
E.
Zinovy
Zinovy is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
- 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_69c035c10648819098c638cdc2084c80 |
completed | March 22, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1cd307c8190bbb6f5749b30c538 |
completed | March 23, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69c0a258fa208190a06b457e7856c338 |
completed | March 23, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a310d2d08190a8dab95f9eef2815 |
completed | March 23, 2026, 2:18 a.m. |
Created at: March 22, 2026, 3:56 p.m.