Triple
T20354259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapan |
E496099
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object |
FC Gandzasar Kapan
FC Gandzasar Kapan is an Armenian professional football club based in the town of Kapan that competes in the country’s national league system.
|
E1425160
|
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: FC Gandzasar Kapan | Statement: [Kapan, hasSportsTeam, FC Gandzasar Kapan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FC Gandzasar Kapan Context triple: [Kapan, hasSportsTeam, FC Gandzasar Kapan]
-
A.
FC Ararat Yerevan
FC Ararat Yerevan is a prominent Armenian football club historically recognized for its success and influence during the Soviet era.
-
B.
Shirak FC
Shirak FC is a professional Armenian football club based in the city of Gyumri and one of the country's historically prominent teams.
-
C.
FC Ijevan
FC Ijevan is a football club based in the town of Ijevan in Armenia.
-
D.
Gabala FK
Gabala FK is a professional football club from Qabala, Azerbaijan, that competes in the Azerbaijan Premier League.
-
E.
FC Dila Gori
FC Dila Gori is a professional Georgian football club based in the city of Gori that competes in the country’s top leagues and domestic competitions.
- 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: FC Gandzasar Kapan Triple: [Kapan, hasSportsTeam, FC Gandzasar Kapan]
Generated description
FC Gandzasar Kapan is an Armenian professional football club based in the town of Kapan that competes in the country’s national league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FC Gandzasar Kapan Target entity description: FC Gandzasar Kapan is an Armenian professional football club based in the town of Kapan that competes in the country’s national league system.
-
A.
FC Ararat Yerevan
FC Ararat Yerevan is a prominent Armenian football club historically recognized for its success and influence during the Soviet era.
-
B.
Shirak FC
Shirak FC is a professional Armenian football club based in the city of Gyumri and one of the country's historically prominent teams.
-
C.
FC Ijevan
FC Ijevan is a football club based in the town of Ijevan in Armenia.
-
D.
Gabala FK
Gabala FK is a professional football club from Qabala, Azerbaijan, that competes in the Azerbaijan Premier League.
-
E.
FC Dila Gori
FC Dila Gori is a professional Georgian football club based in the city of Gori that competes in the country’s top leagues and domestic competitions.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67852ca9881908a5af18005639859 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086967aef88190b138be722f410e82 |
completed | May 16, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0869f7b4208190858fdeae882e008d |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a893f1c81909bc40e3c4db0e147 |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:25 a.m.