Triple
T5592528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marathón |
E146912
|
entity |
| Predicate | hasFanNickname |
P55
|
FINISHED |
| Object | Marathones |
E146912
|
NE FINISHED |
How this triple was built (2 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: Marathones | Statement: [Marathón, hasFanNickname, Marathones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marathones Context triple: [Marathón, hasFanNickname, Marathones]
-
A.
Marathon
Marathon is a city in the Florida Keys known for its island chain, boating and fishing culture, and position along the historic route of the Overseas Highway and former Overseas Railroad.
-
B.
Marathon
Marathon is an ancient town in northeastern Attica, Greece, best known as the site of the pivotal Battle of Marathon in 490 BC that inspired the modern long-distance race.
-
C.
Marathón
chosen
Marathón is a professional football club from Honduras, known as one of the country's most prominent and historically successful teams.
-
D.
Marathon '33
Marathon '33 is a stage play by June Havoc that dramatizes the grueling world of Depression-era dance marathons, drawing on her own experiences as a contestant.
-
E.
Laufen
Laufen is a historic Bavarian town in southeastern Germany situated on the banks of the Salzach River near the Austrian border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020bb08648190ab1f66cc3e897e6d |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0286b4d2c8190a3224f3082316dc8 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:38 p.m.