Triple
T9171809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Lucca |
E220097
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Stazzema
Stazzema is a small Tuscan municipality in central Italy, known for its mountainous landscape in the Apuan Alps and its tragic World War II history.
|
E781597
|
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: Stazzema | Statement: [Province of Lucca, contains, Stazzema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stazzema Context triple: [Province of Lucca, contains, Stazzema]
-
A.
Bultei
Bultei is a small municipality in the Logudoro region of central Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
B.
Stutterheim
Stutterheim is a small town in South Africa’s Eastern Cape province, known for its forestry, agriculture, and scenic setting near the Amathole Mountains.
-
C.
Arbogne
Arbogne is a small river in western Switzerland that serves as a tributary of the Broye.
-
D.
Mazzorbo
Mazzorbo is a quiet island in the northern Venetian Lagoon known for its vineyards, colorful houses, and connection by bridge to the more famous island of Burano.
-
E.
Lorze
The Lorze is a river in central Switzerland that drains Lake Zug and flows through the cantons of Zug and Aargau before joining the Reuss.
- 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: Stazzema Triple: [Province of Lucca, contains, Stazzema]
Generated description
Stazzema is a small Tuscan municipality in central Italy, known for its mountainous landscape in the Apuan Alps and its tragic World War II history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stazzema Target entity description: Stazzema is a small Tuscan municipality in central Italy, known for its mountainous landscape in the Apuan Alps and its tragic World War II history.
-
A.
Bultei
Bultei is a small municipality in the Logudoro region of central Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
B.
Stutterheim
Stutterheim is a small town in South Africa’s Eastern Cape province, known for its forestry, agriculture, and scenic setting near the Amathole Mountains.
-
C.
Arbogne
Arbogne is a small river in western Switzerland that serves as a tributary of the Broye.
-
D.
Mazzorbo
Mazzorbo is a quiet island in the northern Venetian Lagoon known for its vineyards, colorful houses, and connection by bridge to the more famous island of Burano.
-
E.
Lorze
The Lorze is a river in central Switzerland that drains Lake Zug and flows through the cantons of Zug and Aargau before joining the Reuss.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae38ee48190bf783477bc37913d |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0549d81d88190bea0995ad0016437 |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d0553c2b58819086a651863f884064 |
completed | April 4, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0562e41bc8190801c75e962600df2 |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 7:22 p.m.