Triple
T6154639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toledo Walleye |
E137287
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
TOL
TOL is the standard abbreviation for the Toledo Walleye, a professional minor league ice hockey team based in Toledo, Ohio.
|
E572717
|
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: TOL | Statement: [Toledo Walleye, hasAbbreviation, TOL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOL Context triple: [Toledo Walleye, hasAbbreviation, TOL]
-
A.
TLO
TLO, also known as Dario Wünsch, is a German professional StarCraft II player renowned for his creative strategies and long-standing presence in the competitive scene.
-
B.
Toller
Toller is a supporting character in the 1966 Western film "Duel at Diablo," set against the backdrop of frontier conflict between U.S. cavalry and Apache forces.
-
C.
CO-TOL
CO-TOL is the ISO 3166-2 code that uniquely identifies Colombia’s Tolima Department in international and administrative contexts.
-
D.
Tololing
Tololing is a strategically important mountain peak in the Dras sector of Kargil, Jammu and Kashmir, that was the site of intense fighting during the 1999 Kargil War between India and Pakistan.
-
E.
תּוֹלָע
תּוֹלָע is the Hebrew name of Tola, a minor judge of Israel mentioned in the biblical Book of Judges.
- 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: TOL Triple: [Toledo Walleye, hasAbbreviation, TOL]
Generated description
TOL is the standard abbreviation for the Toledo Walleye, a professional minor league ice hockey team based in Toledo, Ohio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TOL Target entity description: TOL is the standard abbreviation for the Toledo Walleye, a professional minor league ice hockey team based in Toledo, Ohio.
-
A.
TLO
TLO, also known as Dario Wünsch, is a German professional StarCraft II player renowned for his creative strategies and long-standing presence in the competitive scene.
-
B.
Toller
Toller is a supporting character in the 1966 Western film "Duel at Diablo," set against the backdrop of frontier conflict between U.S. cavalry and Apache forces.
-
C.
CO-TOL
CO-TOL is the ISO 3166-2 code that uniquely identifies Colombia’s Tolima Department in international and administrative contexts.
-
D.
Tololing
Tololing is a strategically important mountain peak in the Dras sector of Kargil, Jammu and Kashmir, that was the site of intense fighting during the 1999 Kargil War between India and Pakistan.
-
E.
תּוֹלָע
תּוֹלָע is the Hebrew name of Tola, a minor judge of Israel mentioned in the biblical Book of Judges.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d01ddb0819085b5f5338b86a25d |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1418195d8819092743f323430b9a8 |
completed | March 23, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69c144696f80819092131e86a3bb3b63 |
completed | March 23, 2026, 1:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c144c523c48190a709342dc031d2b8 |
completed | March 23, 2026, 1:48 p.m. |
Created at: March 22, 2026, 4:17 p.m.