Triple
T16375930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oriental Region |
E397679
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Figuig
Figuig is an oasis town in eastern Morocco known for its traditional ksour (fortified villages), date palm groves, and location near the Algerian border.
|
E1210694
|
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: Figuig | Statement: [Oriental Region, containsCity, Figuig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Figuig Context triple: [Oriental Region, containsCity, Figuig]
-
A.
Fargas
Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
-
B.
Louletano
Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve region.
-
C.
Piossasco
Piossasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
-
D.
Provenza
"Provenza" is a hit reggaeton song by Colombian singer Karol G known for its tropical sound and themes of empowerment and romantic liberation.
-
E.
Loché
Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
- 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: Figuig Triple: [Oriental Region, containsCity, Figuig]
Generated description
Figuig is an oasis town in eastern Morocco known for its traditional ksour (fortified villages), date palm groves, and location near the Algerian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Figuig Target entity description: Figuig is an oasis town in eastern Morocco known for its traditional ksour (fortified villages), date palm groves, and location near the Algerian border.
-
A.
Fargas
Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
-
B.
Louletano
Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve region.
-
C.
Piossasco
Piossasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
-
D.
Provenza
"Provenza" is a hit reggaeton song by Colombian singer Karol G known for its tropical sound and themes of empowerment and romantic liberation.
-
E.
Loché
Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d79df8819087285b9457b7bdb6 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356406208190a9cedc1de2ab4e07 |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a00377305bc8190a566c4ed4aed70c9 |
completed | May 10, 2026, 7:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0037e43a2c8190993447ade595f6e6 |
completed | May 10, 2026, 7:46 a.m. |
Created at: April 10, 2026, 5:08 a.m.