Triple
T9849533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taghazout |
E239428
|
entity |
| Predicate | hasNearbySurfSpot |
P22583
|
FINISHED |
| Object |
La Source
La Source is a popular surf break near Taghazout, Morocco, known for its consistent waves and scenic Atlantic coastline.
|
E824905
|
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 Source | Statement: [Taghazout, hasNearbySurfSpot, La Source]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Source Context triple: [Taghazout, hasNearbySurfSpot, La Source]
-
A.
La Source
La Source is the original French title of the 1960 Swedish film "The Virgin Spring," directed by Ingmar Bergman.
-
B.
Cerca-la-Source
Cerca-la-Source is a commune and town in Haiti located within the country's Centre Department.
-
C.
Sentier
Sentier is a Paris Métro station in the 2nd arrondissement, serving the historic textile and tech district near Rue Montorgueil.
-
D.
Soure
Soure is a Portuguese municipality located in the central region within the Coimbra District, known for its rural landscapes and historical heritage.
-
E.
Fuente de Todos
Fuente de Todos is the original spring or water source after which the Spanish village of Fuendetodos, birthplace of painter Francisco Goya, is named.
- 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 Source Triple: [Taghazout, hasNearbySurfSpot, La Source]
Generated description
La Source is a popular surf break near Taghazout, Morocco, known for its consistent waves and scenic Atlantic coastline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Source Target entity description: La Source is a popular surf break near Taghazout, Morocco, known for its consistent waves and scenic Atlantic coastline.
-
A.
La Source
La Source is the original French title of the 1960 Swedish film "The Virgin Spring," directed by Ingmar Bergman.
-
B.
Cerca-la-Source
Cerca-la-Source is a commune and town in Haiti located within the country's Centre Department.
-
C.
Sentier
Sentier is a Paris Métro station in the 2nd arrondissement, serving the historic textile and tech district near Rue Montorgueil.
-
D.
Soure
Soure is a Portuguese municipality located in the central region within the Coimbra District, known for its rural landscapes and historical heritage.
-
E.
Fuente de Todos
Fuente de Todos is the original spring or water source after which the Spanish village of Fuendetodos, birthplace of painter Francisco Goya, is named.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb372efc88190a801b2d7384445d7 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5ea5eac8190af7fad00a6398c5e |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d6815e28819081788393cda63bc0 |
completed | April 5, 2026, 3:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d75210f4819096ee05a8b870581e |
completed | April 5, 2026, 3:30 a.m. |
Created at: March 30, 2026, 8:34 p.m.