Triple
T10237304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellenic Football Federation |
E243497
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
EPO
EPO is the commonly used abbreviation for the Hellenic Football Federation, the governing body of football in Greece.
|
E852957
|
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: EPO | Statement: [Hellenic Football Federation, shortName, EPO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EPO Context triple: [Hellenic Football Federation, shortName, EPO]
-
A.
EPO
EPO is a type of health insurance plan that covers services only from a specific network of providers, except in emergencies.
-
B.
EPI
EPI is the abbreviation for Exploding Plastic Inevitable, the multimedia performance series created by Andy Warhol that combined live music, film projections, and avant-garde art in the 1960s.
-
C.
EPI
EPI is a global public health initiative led by the World Health Organization that aims to ensure universal access to routine, life-saving vaccinations, particularly for children.
-
D.
EPOP
EPOP is the ICAO airport code assigned to Opole-Polska Nowa Wieś Airport, a Polish airfield primarily serving sports and general aviation.
-
E.
Epi
Epi is a volcanic island in central Vanuatu known for its lush landscapes, traditional villages, and surrounding coral reefs.
- 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: EPO Triple: [Hellenic Football Federation, shortName, EPO]
Generated description
EPO is the commonly used abbreviation for the Hellenic Football Federation, the governing body of football in Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EPO Target entity description: EPO is the commonly used abbreviation for the Hellenic Football Federation, the governing body of football in Greece.
-
A.
EPO
EPO is a type of health insurance plan that covers services only from a specific network of providers, except in emergencies.
-
B.
EPI
EPI is the abbreviation for Exploding Plastic Inevitable, the multimedia performance series created by Andy Warhol that combined live music, film projections, and avant-garde art in the 1960s.
-
C.
EPI
EPI is a global public health initiative led by the World Health Organization that aims to ensure universal access to routine, life-saving vaccinations, particularly for children.
-
D.
EPOP
EPOP is the ICAO airport code assigned to Opole-Polska Nowa Wieś Airport, a Polish airfield primarily serving sports and general aviation.
-
E.
Epi
Epi is a volcanic island in central Vanuatu known for its lush landscapes, traditional villages, and surrounding coral reefs.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d21b64c88190b708c20ca7fe20aa |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f762732481909246dcb768074643 |
completed | April 9, 2026, 12:48 a.m. |
| NEDg | Description generation | batch_69d6fcaa16788190a4c7ef79a78febc6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd6d705c81908e469068937a79b3 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:22 a.m.