Triple
T15676209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavagna |
E377450
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object |
Cogorno
Cogorno is a small municipality in the Liguria region of northwestern Italy, situated in the hilly inland area near the Gulf of Tigullio.
|
E1171373
|
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: Cogorno | Statement: [Lavagna, hasBorderWith, Cogorno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cogorno Context triple: [Lavagna, hasBorderWith, Cogorno]
-
A.
Monte Giberto
Monte Giberto is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
-
B.
Monte Urgull
Monte Urgull is a prominent hill overlooking the city and bay of San Sebastián in northern Spain, known for its historic fortifications and panoramic views.
-
C.
Monte Catria
Monte Catria is a prominent peak in central Italy known for its rugged limestone slopes, hiking trails, and panoramic views over the Apennine landscape.
-
D.
Monte d’Oro
Monte d’Oro is a prominent mountain peak in central Corsica, known for its rugged terrain and panoramic views over the island’s interior.
-
E.
Moncaup
Moncaup is a small commune in southwestern France located within the administrative boundaries of the canton of Saint-Gaudens.
- 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: Cogorno Triple: [Lavagna, hasBorderWith, Cogorno]
Generated description
Cogorno is a small municipality in the Liguria region of northwestern Italy, situated in the hilly inland area near the Gulf of Tigullio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cogorno Target entity description: Cogorno is a small municipality in the Liguria region of northwestern Italy, situated in the hilly inland area near the Gulf of Tigullio.
-
A.
Monte Giberto
Monte Giberto is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
-
B.
Monte Urgull
Monte Urgull is a prominent hill overlooking the city and bay of San Sebastián in northern Spain, known for its historic fortifications and panoramic views.
-
C.
Monte Catria
Monte Catria is a prominent peak in central Italy known for its rugged limestone slopes, hiking trails, and panoramic views over the Apennine landscape.
-
D.
Monte d’Oro
Monte d’Oro is a prominent mountain peak in central Corsica, known for its rugged terrain and panoramic views over the island’s interior.
-
E.
Moncaup
Moncaup is a small commune in southwestern France located within the administrative boundaries of the canton of Saint-Gaudens.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2e10a4819097eba1ea31e36ac2 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6edd85148190b6d5c3981204dd77 |
completed | May 9, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69ff6fd9c968819098b2552a9deb0445 |
completed | May 9, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff708d42448190a53b90e00721eaa5 |
completed | May 9, 2026, 5:36 p.m. |
Created at: April 10, 2026, 4:16 a.m.