Triple
T22405735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Apt |
E553875
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
La Brillanne
La Brillanne is a small commune in the Alpes-de-Haute-Provence department in southeastern France.
|
E1533683
|
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 Brillanne | Statement: [canton of Apt, contains, La Brillanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Brillanne Context triple: [canton of Apt, contains, La Brillanne]
-
A.
Count of Brionne
Count of Brionne was a noble title historically borne by a cadet branch of the influential House of Lorraine in France.
-
B.
Blachevelle
Blachevelle is a minor character in Victor Hugo’s novel "Les Misérables," known as one of the frivolous student companions of Tholomyès and the other young men who court Fantine and her friends.
-
C.
Reyerta
Reyerta is one of the narrative poems in Federico García Lorca’s "Romancero gitano," known for its vivid depiction of violence and tragic conflict within Andalusian and Romani settings.
-
D.
La Galana
La Galana is one of the prominent high peaks in Spain’s Sierra de Gredos mountain range, popular with experienced hikers and climbers.
-
E.
Scarlet Knight
Scarlet Knight is the armored medieval knight mascot representing Rutgers University's athletic teams.
- 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 Brillanne Triple: [canton of Apt, contains, La Brillanne]
Generated description
La Brillanne is a small commune in the Alpes-de-Haute-Provence department in southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Brillanne Target entity description: La Brillanne is a small commune in the Alpes-de-Haute-Provence department in southeastern France.
-
A.
Count of Brionne
Count of Brionne was a noble title historically borne by a cadet branch of the influential House of Lorraine in France.
-
B.
Blachevelle
Blachevelle is a minor character in Victor Hugo’s novel "Les Misérables," known as one of the frivolous student companions of Tholomyès and the other young men who court Fantine and her friends.
-
C.
Reyerta
Reyerta is one of the narrative poems in Federico García Lorca’s "Romancero gitano," known for its vivid depiction of violence and tragic conflict within Andalusian and Romani settings.
-
D.
La Galana
La Galana is one of the prominent high peaks in Spain’s Sierra de Gredos mountain range, popular with experienced hikers and climbers.
-
E.
Scarlet Knight
Scarlet Knight is the armored medieval knight mascot representing Rutgers University's athletic teams.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b739b88190a7f1f20fd1e9b188 |
completed | April 29, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9cfabe081908d6a001bcfe5372c |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aea5eef848190893c8b7f6066092d |
completed | May 18, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeaf55efc81909438a39cbfd5e723 |
completed | May 18, 2026, 10:33 a.m. |
Created at: April 16, 2026, 8:46 p.m.