Triple
T16617709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpe di Catenaia |
E403736
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Monte Castello
Monte Castello is a mountain peak in the Alpe di Catenaia range in Italy, notable as its highest summit.
|
E1223886
|
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: Monte Castello | Statement: [Alpe di Catenaia, highestPoint, Monte Castello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Castello Context triple: [Alpe di Catenaia, highestPoint, Monte Castello]
-
A.
Montelepre
Montelepre is a small historic town in Sicily, Italy, known for its mountainous setting and traditional Sicilian culture.
-
B.
Montecreto
Montecreto is a small municipality in the Emilia-Romagna region of northern Italy, situated in the Apennine Mountains within the Province of Modena.
-
C.
Monte Lungo
Monte Lungo is the highest peak in Italy’s Berici Hills, a low mountain range in the Veneto region.
-
D.
Rocca Pietore
Rocca Pietore is a small mountain village and municipality in the Veneto region of northern Italy, known as a gateway to the Dolomites and nearby Marmolada glacier.
-
E.
Monteprandone
Monteprandone is a hilltop town and comune in Italy’s Marche region, known for its medieval historic center and views over the surrounding Piceno countryside.
- 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: Monte Castello Triple: [Alpe di Catenaia, highestPoint, Monte Castello]
Generated description
Monte Castello is a mountain peak in the Alpe di Catenaia range in Italy, notable as its highest summit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monte Castello Target entity description: Monte Castello is a mountain peak in the Alpe di Catenaia range in Italy, notable as its highest summit.
-
A.
Montelepre
Montelepre is a small historic town in Sicily, Italy, known for its mountainous setting and traditional Sicilian culture.
-
B.
Montecreto
Montecreto is a small municipality in the Emilia-Romagna region of northern Italy, situated in the Apennine Mountains within the Province of Modena.
-
C.
Monte Lungo
Monte Lungo is the highest peak in Italy’s Berici Hills, a low mountain range in the Veneto region.
-
D.
Rocca Pietore
Rocca Pietore is a small mountain village and municipality in the Veneto region of northern Italy, known as a gateway to the Dolomites and nearby Marmolada glacier.
-
E.
Monteprandone
Monteprandone is a hilltop town and comune in Italy’s Marche region, known for its medieval historic center and views over the surrounding Piceno countryside.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754ac9dc8190965197024594742b |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007daef18481908c3628a3466300ce |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e6507208190b3f32c05a2f647bd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f2cefa081908734a907da33a72f |
completed | May 10, 2026, 12:50 p.m. |
Created at: April 10, 2026, 5:17 a.m.