Triple
T7320291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ascra |
E168523
|
entity |
| Predicate | ancientEthnic |
P48116
|
FINISHED |
| Object |
Ascrans
The Ascrans were an ancient Greek people associated with the town of Ascra in Boeotia, known from classical literary and historical references.
|
E657574
|
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: Ascrans | Statement: [Ascra, ancientEthnic, Ascrans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ascrans Context triple: [Ascra, ancientEthnic, Ascrans]
-
A.
Ascrea
Ascrea is a small hilltop municipality in the Lazio region of central Italy, known for its scenic setting near Lake Turano.
-
B.
Ascania
Ascania is a historic region in central Germany that gave its name to the medieval Ascanian noble dynasty.
-
C.
Mesoraca
Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
-
D.
Aspurgus
Aspurgus was an ancient king of the Bosporan Kingdom, a Hellenistic state in the Crimea region, known for founding the Aspurgian dynasty that ruled for centuries.
-
E.
Ascella
Ascella is a prominent multiple star system in the constellation Sagittarius, known for being one of its brightest and most easily visible stars.
- 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: Ascrans Triple: [Ascra, ancientEthnic, Ascrans]
Generated description
The Ascrans were an ancient Greek people associated with the town of Ascra in Boeotia, known from classical literary and historical references.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ascrans Target entity description: The Ascrans were an ancient Greek people associated with the town of Ascra in Boeotia, known from classical literary and historical references.
-
A.
Ascrea
Ascrea is a small hilltop municipality in the Lazio region of central Italy, known for its scenic setting near Lake Turano.
-
B.
Ascania
Ascania is a historic region in central Germany that gave its name to the medieval Ascanian noble dynasty.
-
C.
Mesoraca
Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
-
D.
Aspurgus
Aspurgus was an ancient king of the Bosporan Kingdom, a Hellenistic state in the Crimea region, known for founding the Aspurgian dynasty that ruled for centuries.
-
E.
Ascella
Ascella is a prominent multiple star system in the constellation Sagittarius, known for being one of its brightest and most easily visible stars.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef1a7a3c81909504eb711056f302 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef01ea8c819091cd4106039c121e |
completed | March 28, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69c7ef7f7b7c8190b3361cc01b2eefc0 |
completed | March 28, 2026, 3:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f380dbe48190933e1eeff109185d |
completed | March 28, 2026, 3:28 p.m. |
Created at: March 27, 2026, 3:02 p.m.