Triple
T19029878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosselló |
E465705
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Elna
Elna is a small historic town in the Pyrénées-Orientales department of southern France, known for its ancient cathedral and medieval heritage.
|
E1354747
|
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: Elna | Statement: [Rosselló, containsCity, Elna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elna Context triple: [Rosselló, containsCity, Elna]
-
A.
Teuva
Teuva is a small rural municipality in western Finland known for its agricultural landscape and traditional Finnish countryside culture.
-
B.
Pfaff
Pfaff is a German surname borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Münter
Münter is the surname of Gabriele Münter, a German expressionist painter associated with the Blue Rider (Der Blaue Reiter) movement.
-
D.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
E.
Maufe
Maufe is a surname most notably associated with Sir Edward Maufe, a 20th-century British architect known for designing Guildford Cathedral and several prominent war memorials.
- 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: Elna Triple: [Rosselló, containsCity, Elna]
Generated description
Elna is a small historic town in the Pyrénées-Orientales department of southern France, known for its ancient cathedral and medieval heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elna Target entity description: Elna is a small historic town in the Pyrénées-Orientales department of southern France, known for its ancient cathedral and medieval heritage.
-
A.
Teuva
Teuva is a small rural municipality in western Finland known for its agricultural landscape and traditional Finnish countryside culture.
-
B.
Pfaff
Pfaff is a German surname borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Münter
Münter is the surname of Gabriele Münter, a German expressionist painter associated with the Blue Rider (Der Blaue Reiter) movement.
-
D.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
E.
Maufe
Maufe is a surname most notably associated with Sir Edward Maufe, a 20th-century British architect known for designing Guildford Cathedral and several prominent war memorials.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d73f98dc81909acbb366f00d2d54 |
completed | April 20, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be59f0088190ae133c2d12beb2c0 |
completed | May 14, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a05bf20c800819084e54a34574cb630 |
completed | May 14, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05bf8bd1cc8190a67b98eb43b4d850 |
completed | May 14, 2026, 12:26 p.m. |
Created at: April 10, 2026, 12:02 p.m.