Triple
T18582443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fala |
E454147
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Jalimego
Jalimego is an alternative name for the constructed language Fala, a Romance language spoken in a small area of northwestern Extremadura, Spain.
|
E1336518
|
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: Jalimego | Statement: [Fala, hasAlternativeName, Jalimego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jalimego Context triple: [Fala, hasAlternativeName, Jalimego]
-
A.
Jálama
Jálama is a prominent mountain in western Spain known for its scenic landscapes and hiking routes near the Val de Xálima region.
-
B.
Jimalalud
Jimalalud is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and rural communities.
-
C.
Jarinu
Jarinu is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes, mild climate, and agricultural activities.
-
D.
Boliqueime
Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
-
E.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
- 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: Jalimego Triple: [Fala, hasAlternativeName, Jalimego]
Generated description
Jalimego is an alternative name for the constructed language Fala, a Romance language spoken in a small area of northwestern Extremadura, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jalimego Target entity description: Jalimego is an alternative name for the constructed language Fala, a Romance language spoken in a small area of northwestern Extremadura, Spain.
-
A.
Jálama
Jálama is a prominent mountain in western Spain known for its scenic landscapes and hiking routes near the Val de Xálima region.
-
B.
Jimalalud
Jimalalud is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and rural communities.
-
C.
Jarinu
Jarinu is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes, mild climate, and agricultural activities.
-
D.
Boliqueime
Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
-
E.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543d10b1c8190a401df810b7290c9 |
completed | April 19, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05170d98a88190a048feff7f0bc7a4 |
completed | May 14, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a051ad23658819081f5169a0506fda6 |
completed | May 14, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a051b9a071c8190a0e92848a3596acd |
completed | May 14, 2026, 12:47 a.m. |
Created at: April 10, 2026, 11:44 a.m.