Triple
T3274928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Rieti |
E68735
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ascrea
Ascrea is a small hilltop municipality in the Lazio region of central Italy, known for its scenic setting near Lake Turano.
|
E345625
|
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: Ascrea | Statement: [Province of Rieti, contains, Ascrea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ascrea Context triple: [Province of Rieti, contains, Ascrea]
-
A.
Anredera
Anredera is a genus of flowering vines known for their twining growth habit and fleshy leaves, some species of which are cultivated as ornamentals or edible plants.
-
B.
Ascella
Ascella is a prominent multiple star system in the constellation Sagittarius, known for being one of its brightest and most easily visible stars.
-
C.
Arycanda
Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
-
D.
Cadmea
Cadmea was the ancient fortified citadel at the heart of Thebes in Boeotia, serving as its political and military stronghold.
-
E.
Caesonia
Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
- 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: Ascrea Triple: [Province of Rieti, contains, Ascrea]
Generated description
Ascrea is a small hilltop municipality in the Lazio region of central Italy, known for its scenic setting near Lake Turano.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ascrea Target entity description: Ascrea is a small hilltop municipality in the Lazio region of central Italy, known for its scenic setting near Lake Turano.
-
A.
Anredera
Anredera is a genus of flowering vines known for their twining growth habit and fleshy leaves, some species of which are cultivated as ornamentals or edible plants.
-
B.
Ascella
Ascella is a prominent multiple star system in the constellation Sagittarius, known for being one of its brightest and most easily visible stars.
-
C.
Arycanda
Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
-
D.
Cadmea
Cadmea was the ancient fortified citadel at the heart of Thebes in Boeotia, serving as its political and military stronghold.
-
E.
Caesonia
Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff8a440819092509bc8511b2785 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3c764548190ac3c90da3763ac62 |
completed | March 12, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_69b2fa431f4c819088c6e0afd4f2f774 |
completed | March 12, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2fe1d4f9c8190a8d4f1206c551671 |
completed | March 12, 2026, 5:55 p.m. |
Created at: March 8, 2026, 3:10 p.m.