Triple
T11400777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerdanya valley |
E270101
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Font-Romeu
Font-Romeu is a mountain resort town in the French Pyrenees known for its ski facilities, sunny climate, and high-altitude sports training center.
|
E923729
|
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: Font-Romeu | Statement: [Cerdanya valley, contains, Font-Romeu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Font-Romeu Context triple: [Cerdanya valley, contains, Font-Romeu]
-
A.
Rivas Futura
Rivas Futura is a Madrid Metro station serving the Rivas-Vaciamadrid area on the outskirts of Spain’s capital.
-
B.
Font-rubí
Font-rubí is a small municipality in the Alt Penedès comarca of Catalonia, Spain, known for its rural landscape and wine-growing traditions.
-
C.
Font Boulevard
Font Boulevard is a major residential street in San Francisco’s Parkmerced neighborhood, lined with apartment buildings and serving as one of the area’s primary internal thoroughfares.
-
D.
Consolata
Consolata is a religious woman, likely a nun, who resides in a convent as part of a Catholic or Christian monastic community.
-
E.
Rometty
Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
- 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: Font-Romeu Triple: [Cerdanya valley, contains, Font-Romeu]
Generated description
Font-Romeu is a mountain resort town in the French Pyrenees known for its ski facilities, sunny climate, and high-altitude sports training center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Font-Romeu Target entity description: Font-Romeu is a mountain resort town in the French Pyrenees known for its ski facilities, sunny climate, and high-altitude sports training center.
-
A.
Rivas Futura
Rivas Futura is a Madrid Metro station serving the Rivas-Vaciamadrid area on the outskirts of Spain’s capital.
-
B.
Font-rubí
Font-rubí is a small municipality in the Alt Penedès comarca of Catalonia, Spain, known for its rural landscape and wine-growing traditions.
-
C.
Font Boulevard
Font Boulevard is a major residential street in San Francisco’s Parkmerced neighborhood, lined with apartment buildings and serving as one of the area’s primary internal thoroughfares.
-
D.
Consolata
Consolata is a religious woman, likely a nun, who resides in a convent as part of a Catholic or Christian monastic community.
-
E.
Rometty
Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cf75ec08190a571e5178bcde274 |
completed | April 20, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69e59777b1208190a33a50da286535ee |
completed | April 20, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5a3cf9d388190944340af484b3a54 |
completed | April 20, 2026, 3:55 a.m. |
Created at: April 8, 2026, 9:34 p.m.