Triple
T1060918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeotia |
E22903
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ascra
Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
|
E168523
|
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: Ascra | Statement: [Boeotia, contains, Ascra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ascra Context triple: [Boeotia, contains, Ascra]
-
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.
Carneia
Carneia was an important ancient Spartan and Dorian festival in honor of Apollo, marked by rituals, music, and athletic contests that reflected both military and agricultural aspects of the community.
-
C.
Kalydon
Kalydon is an ancient Greek city in Aetolia, famed in mythology for the Calydonian Boar hunt and its prominent role in early Greek epic tradition.
-
D.
Amfissa
Amfissa is a historic town in central Greece, near Delphi, known for its ancient roots, traditional architecture, and olive cultivation in the surrounding Crisaean plain.
-
E.
Tanagra
Tanagra was an ancient Greek city in Boeotia, noted for its strategic location and for the finely crafted terracotta figurines known as Tanagra figurines.
- 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: Ascra Triple: [Boeotia, contains, Ascra]
Generated description
Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ascra Target entity description: Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
-
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.
Carneia
Carneia was an important ancient Spartan and Dorian festival in honor of Apollo, marked by rituals, music, and athletic contests that reflected both military and agricultural aspects of the community.
-
C.
Kalydon
Kalydon is an ancient Greek city in Aetolia, famed in mythology for the Calydonian Boar hunt and its prominent role in early Greek epic tradition.
-
D.
Amfissa
Amfissa is a historic town in central Greece, near Delphi, known for its ancient roots, traditional architecture, and olive cultivation in the surrounding Crisaean plain.
-
E.
Tanagra
Tanagra was an ancient Greek city in Boeotia, noted for its strategic location and for the finely crafted terracotta figurines known as Tanagra figurines.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f3f98c819096338198d9f30491 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad158c492c819081988cc99c6f3f0b |
completed | March 8, 2026, 6:22 a.m. |
| NEDg | Description generation | batch_69ad162d7d08819085108fa5bb33f40f |
completed | March 8, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad16a5c76c8190a0bb3ccf5557b1b0 |
completed | March 8, 2026, 6:26 a.m. |
Created at: March 1, 2026, 7:42 p.m.