Triple
T15869699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panachaiki F.C. |
E384800
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Panachaiki
Panachaiki is a Greek football club based in Patras, known for its historic presence in the country’s professional leagues.
|
E1181481
|
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: Panachaiki | Statement: [Panachaiki F.C., shortName, Panachaiki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panachaiki Context triple: [Panachaiki F.C., shortName, Panachaiki]
-
A.
Bhilai
Bhilai is an industrial city in central India best known for its large steel plant and planned urban infrastructure.
-
B.
Parbhani
Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
-
C.
Korba
Korba is an industrial city in the Indian state of Chhattisgarh, known primarily for its coal mining and power generation industries.
-
D.
Korba
Korba is a coastal town in northeastern Tunisia known for its beaches, agriculture, and role as a local commercial center.
-
E.
Bhagyanagar
Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
- 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: Panachaiki Triple: [Panachaiki F.C., shortName, Panachaiki]
Generated description
Panachaiki is a Greek football club based in Patras, known for its historic presence in the country’s professional leagues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Panachaiki Target entity description: Panachaiki is a Greek football club based in Patras, known for its historic presence in the country’s professional leagues.
-
A.
Bhilai
Bhilai is an industrial city in central India best known for its large steel plant and planned urban infrastructure.
-
B.
Parbhani
Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
-
C.
Korba
Korba is an industrial city in the Indian state of Chhattisgarh, known primarily for its coal mining and power generation industries.
-
D.
Korba
Korba is a coastal town in northeastern Tunisia known for its beaches, agriculture, and role as a local commercial center.
-
E.
Bhagyanagar
Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155f7fe8c81908fb60ada27b14c8b |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa94a4d208190805d33da0e433092 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaacbe94881908d4ee2e53d8dbd76 |
completed | May 9, 2026, 9:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffab2fdd1c81909439f11ff798c168 |
completed | May 9, 2026, 9:46 p.m. |
Created at: April 10, 2026, 4:50 a.m.