Triple
T13710085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Fermo |
E328747
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Amandola
Amandola is a historic hill town in Italy’s Marche region, known for its medieval center and proximity to the Monti Sibillini National Park.
|
E1056447
|
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: Amandola | Statement: [Province of Fermo, contains, Amandola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amandola Context triple: [Province of Fermo, contains, Amandola]
-
A.
Ponda
Ponda is a town in the Indian state of Goa known for its temples, spice plantations, and proximity to major rivers and forested areas.
-
B.
Muribeca
Muribeca is a municipality in the Brazilian state of Sergipe, known for its rural character within the semi-arid interior region.
-
C.
Yaviza
Yaviza is a small town in Panama’s Darién Province known as the southern terminus of the Pan-American Highway and a gateway to the remote Darién region.
-
D.
Terrigal
Terrigal is a popular coastal town in New South Wales, Australia, known for its surf beaches, scenic headlands, and vibrant holiday atmosphere.
-
E.
Deonar
Deonar is a suburban area in eastern Mumbai, India, known for housing one of Asia’s largest and oldest garbage dumping grounds.
- 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: Amandola Triple: [Province of Fermo, contains, Amandola]
Generated description
Amandola is a historic hill town in Italy’s Marche region, known for its medieval center and proximity to the Monti Sibillini National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amandola Target entity description: Amandola is a historic hill town in Italy’s Marche region, known for its medieval center and proximity to the Monti Sibillini National Park.
-
A.
Ponda
Ponda is a town in the Indian state of Goa known for its temples, spice plantations, and proximity to major rivers and forested areas.
-
B.
Muribeca
Muribeca is a municipality in the Brazilian state of Sergipe, known for its rural character within the semi-arid interior region.
-
C.
Yaviza
Yaviza is a small town in Panama’s Darién Province known as the southern terminus of the Pan-American Highway and a gateway to the remote Darién region.
-
D.
Terrigal
Terrigal is a popular coastal town in New South Wales, Australia, known for its surf beaches, scenic headlands, and vibrant holiday atmosphere.
-
E.
Deonar
Deonar is a suburban area in eastern Mumbai, India, known for housing one of Asia’s largest and oldest garbage dumping grounds.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d52b3708190ae0945e65b271556 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79df2984c8190bed380102ade0725 |
completed | May 3, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79e7d50a88190b2a90094dd6d48ad |
completed | May 3, 2026, 7:14 p.m. |
Created at: April 9, 2026, 9:54 p.m.