Triple
T16113385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Coloma de Gramenet |
E390935
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Can Calvet
Can Calvet is a residential neighborhood within the municipality of Santa Coloma de Gramenet in the metropolitan area of Barcelona, Spain.
|
E1194464
|
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: Can Calvet | Statement: [Santa Coloma de Gramenet, hasNeighbourhood, Can Calvet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Can Calvet Context triple: [Santa Coloma de Gramenet, hasNeighbourhood, Can Calvet]
-
A.
Callús
Callús is a small municipality in the comarca of Bages in Catalonia, northeastern Spain.
-
B.
Calvaises
Calvaises are the inhabitants or natives of the town of Calvi, typically referring to its local population and community.
-
C.
Crémines
Crémines is a small Swiss village in the French-speaking Jura bernois region of the canton of Bern.
-
D.
Calvaire
Calvaire is a 2004 Belgian psychological horror film by Fabrice Du Welz, known for its disturbing atmosphere and portrayal of a singer’s nightmarish ordeal in a remote village.
-
E.
The Courser
The Courser is the English rendering of the Arabic name "Al-Adiyat," referring to the charging war-horses evoked in the 100th chapter of the Qur’an.
- 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: Can Calvet Triple: [Santa Coloma de Gramenet, hasNeighbourhood, Can Calvet]
Generated description
Can Calvet is a residential neighborhood within the municipality of Santa Coloma de Gramenet in the metropolitan area of Barcelona, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Can Calvet Target entity description: Can Calvet is a residential neighborhood within the municipality of Santa Coloma de Gramenet in the metropolitan area of Barcelona, Spain.
-
A.
Callús
Callús is a small municipality in the comarca of Bages in Catalonia, northeastern Spain.
-
B.
Calvaises
Calvaises are the inhabitants or natives of the town of Calvi, typically referring to its local population and community.
-
C.
Crémines
Crémines is a small Swiss village in the French-speaking Jura bernois region of the canton of Bern.
-
D.
Calvaire
Calvaire is a 2004 Belgian psychological horror film by Fabrice Du Welz, known for its disturbing atmosphere and portrayal of a singer’s nightmarish ordeal in a remote village.
-
E.
The Courser
The Courser is the English rendering of the Arabic name "Al-Adiyat," referring to the charging war-horses evoked in the 100th chapter of the Qur’an.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20168bf98819093c3260d4fde2b53 |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba90ffc81909d5eb8f0cfa9f147 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffec6ce4e881908b530a981375cc55 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffed469a5c8190932fa4ebc44358c4 |
completed | May 10, 2026, 2:28 a.m. |
Created at: April 10, 2026, 5 a.m.