Triple
T4431825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achaea |
E95347
|
entity |
| Predicate | historicalCity |
P3786
|
FINISHED |
| Object |
Aegium
Aegium was an important ancient Greek city in the region of Achaea, known as a political and religious center, especially during the Hellenistic period.
|
E443390
|
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: Aegium | Statement: [Achaea, historicalCity, Aegium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aegium Context triple: [Achaea, historicalCity, Aegium]
-
A.
Pherae
Pherae was an ancient Greek city in Thessaly known for its political influence and as the seat of the powerful tyrant Jason of Pherae.
-
B.
Ascra
Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
-
C.
Ambracia
Ambracia was an ancient Greek city in Epirus that became an important regional center and later the capital of King Pyrrhus.
-
D.
Sikyon
Sikyon was an ancient Greek city-state in the northern Peloponnese, known for its artistic and cultural achievements, especially in sculpture and painting.
-
E.
Oropos
Oropos is a coastal town and municipality in northeastern Attica, Greece, situated opposite the island of Euboea and known for its archaeological sites and seaside resorts.
- 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: Aegium Triple: [Achaea, historicalCity, Aegium]
Generated description
Aegium was an important ancient Greek city in the region of Achaea, known as a political and religious center, especially during the Hellenistic period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aegium Target entity description: Aegium was an important ancient Greek city in the region of Achaea, known as a political and religious center, especially during the Hellenistic period.
-
A.
Pherae
Pherae was an ancient Greek city in Thessaly known for its political influence and as the seat of the powerful tyrant Jason of Pherae.
-
B.
Ascra
Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
-
C.
Ambracia
Ambracia was an ancient Greek city in Epirus that became an important regional center and later the capital of King Pyrrhus.
-
D.
Sikyon
Sikyon was an ancient Greek city-state in the northern Peloponnese, known for its artistic and cultural achievements, especially in sculpture and painting.
-
E.
Oropos
Oropos is a coastal town and municipality in northeastern Attica, Greece, situated opposite the island of Euboea and known for its archaeological sites and seaside resorts.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3556b71448190a3fab938853f8b87 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6375d0d8c819095a27cdc84af9faf |
completed | March 15, 2026, 4:36 a.m. |
| NEDg | Description generation | batch_69b63823c30c8190af727acae00da9d3 |
completed | March 15, 2026, 4:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b638a398f88190bd0f041e9494aeba |
completed | March 15, 2026, 4:42 a.m. |
Created at: March 12, 2026, 11:31 p.m.