Triple
T18386048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Teste-de-Buch |
E446592
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Gujan-Mestras
Gujan-Mestras is a coastal commune in southwestern France known for its oyster farming and location along the Arcachon Bay.
|
E1320965
|
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: Gujan-Mestras | Statement: [La Teste-de-Buch, borders, Gujan-Mestras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gujan-Mestras Context triple: [La Teste-de-Buch, borders, Gujan-Mestras]
-
A.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
B.
Pomares
Pomares is a small village in the municipality of Arganil in central Portugal, known for its rural setting and traditional Portuguese character.
-
C.
Valladares
Valladares is a Spanish surname historically associated with nobility and notable figures such as colonial administrators and politicians.
-
D.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
E.
Aranguez
Aranguez is a residential and commercial neighborhood in the San Juan–Laventille region of Trinidad and Tobago, known for its agricultural lands and proximity to Port of Spain.
- 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: Gujan-Mestras Triple: [La Teste-de-Buch, borders, Gujan-Mestras]
Generated description
Gujan-Mestras is a coastal commune in southwestern France known for its oyster farming and location along the Arcachon Bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gujan-Mestras Target entity description: Gujan-Mestras is a coastal commune in southwestern France known for its oyster farming and location along the Arcachon Bay.
-
A.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
B.
Pomares
Pomares is a small village in the municipality of Arganil in central Portugal, known for its rural setting and traditional Portuguese character.
-
C.
Valladares
Valladares is a Spanish surname historically associated with nobility and notable figures such as colonial administrators and politicians.
-
D.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
E.
Aranguez
Aranguez is a residential and commercial neighborhood in the San Juan–Laventille region of Trinidad and Tobago, known for its agricultural lands and proximity to Port of Spain.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517a00c608190a8f0010c7b53df90 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d784b3008190b84905ed433d846d |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d8512d4c8190b113f7ed1f8a044c |
completed | May 13, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8d863cc819098b46d5d26db05cd |
completed | May 13, 2026, 1:50 a.m. |
Created at: April 10, 2026, 10:46 a.m.