Triple
T7669253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Pescara |
E173704
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Turrivalignani
Turrivalignani is a small Italian municipality located in the Abruzzo region, known for its hilltop setting and traditional rural character.
|
E679709
|
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: Turrivalignani | Statement: [Province of Pescara, contains, Turrivalignani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turrivalignani Context triple: [Province of Pescara, contains, Turrivalignani]
-
A.
Bargnani
Bargnani is an Italian surname most prominently associated with former NBA basketball player Andrea Bargnani.
-
B.
Mirandolesi
Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
-
C.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
-
D.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
E.
Michelago
Michelago is a small rural village in New South Wales, Australia, situated south of Canberra and known for its pastoral landscape and historic railway connections.
- 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: Turrivalignani Triple: [Province of Pescara, contains, Turrivalignani]
Generated description
Turrivalignani is a small Italian municipality located in the Abruzzo region, known for its hilltop setting and traditional rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turrivalignani Target entity description: Turrivalignani is a small Italian municipality located in the Abruzzo region, known for its hilltop setting and traditional rural character.
-
A.
Bargnani
Bargnani is an Italian surname most prominently associated with former NBA basketball player Andrea Bargnani.
-
B.
Mirandolesi
Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
-
C.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
-
D.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
E.
Michelago
Michelago is a small rural village in New South Wales, Australia, situated south of Canberra and known for its pastoral landscape and historic railway connections.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c3ff38819090d65ac4ae218750 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b29232c81908568eda38c2ac12a |
completed | March 29, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69c89d3eb9bc819099af036126e0ac4d |
completed | March 29, 2026, 3:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89d9255e08190b248f0c3fc858bc5 |
completed | March 29, 2026, 3:33 a.m. |
Created at: March 27, 2026, 4 p.m.