Triple
T13956596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apuan Alps |
E335678
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | city of Carrara |
E151864
|
NE FINISHED |
How this triple was built (2 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: city of Carrara | Statement: [Apuan Alps, near, city of Carrara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Carrara Context triple: [Apuan Alps, near, city of Carrara]
-
A.
Carrara
Carrara is a suburb on Queensland’s Gold Coast in Australia, known for its residential communities, golf courses, and proximity to major sporting and entertainment venues.
-
B.
Carrara
chosen
Carrara is an Italian city renowned worldwide for its high-quality white marble quarries and sculpture tradition.
-
C.
Cortona
Cortona is an ancient hilltop town in Tuscany, Italy, historically significant as one of the principal cities of the Etruscan civilization.
-
D.
Montelparo
Montelparo is a small historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
-
E.
Pisae
Pisae is the ancient Roman name for the city of Pisa in Tuscany, Italy, historically significant as a coastal settlement and later a prominent maritime republic.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7a34f08190aa0d88b66154f268 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d27a0c8190b5d95ea86fc1a420 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.