Triple
T3853504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capcir |
E85354
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
La Llagonne
La Llagonne is a small mountain commune in the French Pyrenees known for its scenic alpine setting and winter sports activities.
|
E392511
|
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: La Llagonne | Statement: [Capcir, contains, La Llagonne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Llagonne Context triple: [Capcir, contains, La Llagonne]
-
A.
Parayre
Parayre is a French surname associated with individuals such as Amélie Noellie Parayre.
-
B.
Talacauvery
Talacauvery is a revered pilgrimage site in Karnataka, India, regarded as the source of the river Kaveri and home to a prominent temple dedicated to the goddess.
-
C.
Limay
Limay is a coastal municipality in the province of Bataan in the Philippines, known for its industrial facilities and role in the country’s energy and petrochemical sectors.
-
D.
Sangone
Sangone is a river in northwestern Italy that flows through the Piedmont region before joining the Dora Riparia.
-
E.
Anapo Valley
Anapo Valley is a scenic river valley in southeastern Sicily known for its rich biodiversity and archaeological significance, including ancient remains associated with the nearby Pantalica necropolis.
- 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: La Llagonne Triple: [Capcir, contains, La Llagonne]
Generated description
La Llagonne is a small mountain commune in the French Pyrenees known for its scenic alpine setting and winter sports activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Llagonne Target entity description: La Llagonne is a small mountain commune in the French Pyrenees known for its scenic alpine setting and winter sports activities.
-
A.
Parayre
Parayre is a French surname associated with individuals such as Amélie Noellie Parayre.
-
B.
Talacauvery
Talacauvery is a revered pilgrimage site in Karnataka, India, regarded as the source of the river Kaveri and home to a prominent temple dedicated to the goddess.
-
C.
Limay
Limay is a coastal municipality in the province of Bataan in the Philippines, known for its industrial facilities and role in the country’s energy and petrochemical sectors.
-
D.
Sangone
Sangone is a river in northwestern Italy that flows through the Piedmont region before joining the Dora Riparia.
-
E.
Anapo Valley
Anapo Valley is a scenic river valley in southeastern Sicily known for its rich biodiversity and archaeological significance, including ancient remains associated with the nearby Pantalica necropolis.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec0438308190865ff74bee5a1cf2 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5041c7250819093b2743afeb6e36c |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504c46dcc8190a9775c39e5c734a9 |
completed | March 14, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b505742830819093a861bde17c03c0 |
completed | March 14, 2026, 6:51 a.m. |
Created at: March 9, 2026, 3:19 p.m.