Triple
T14739131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciociaria |
E346295
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Colleferro
Colleferro is an industrial town in the Lazio region of central Italy, known for its manufacturing and aerospace industries.
|
E1138618
|
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: Colleferro | Statement: [Ciociaria, hasMajorTown, Colleferro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colleferro Context triple: [Ciociaria, hasMajorTown, Colleferro]
-
A.
Vetralla
Vetralla is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and location along the ancient Via Cassia.
-
B.
Montecastrilli
Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
-
C.
Montefiascone
Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
-
D.
Roccaraso
Roccaraso is a mountain town in Italy’s Abruzzo region, renowned as one of the country’s major ski and winter sports resorts.
-
E.
Musignano
Musignano is an Italian locality historically linked to the Bonaparte family’s expanded heraldic and territorial holdings.
- 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: Colleferro Triple: [Ciociaria, hasMajorTown, Colleferro]
Generated description
Colleferro is an industrial town in the Lazio region of central Italy, known for its manufacturing and aerospace industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colleferro Target entity description: Colleferro is an industrial town in the Lazio region of central Italy, known for its manufacturing and aerospace industries.
-
A.
Vetralla
Vetralla is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and location along the ancient Via Cassia.
-
B.
Montecastrilli
Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
-
C.
Montefiascone
Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
-
D.
Roccaraso
Roccaraso is a mountain town in Italy’s Abruzzo region, renowned as one of the country’s major ski and winter sports resorts.
-
E.
Musignano
Musignano is an Italian locality historically linked to the Bonaparte family’s expanded heraldic and territorial holdings.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73264848190be23c5f0260cbe13 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7d279708190a54a56c0b80be10a |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feba0820e081909fa76c9725fe9c84 |
completed | May 9, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feba3ff2c8819099cc5be8c556d526 |
completed | May 9, 2026, 4:38 a.m. |
Created at: April 10, 2026, 1:29 a.m.