Triple
T22055867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spain–Portugal border |
E545007
|
entity |
| Predicate | culturalRegionName |
P1968
|
FINISHED |
| Object |
Raia
Raia is the culturally intertwined frontier region along the Spain–Portugal border, known for its shared traditions, dialects, and cross-border identity.
|
E1515058
|
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: Raia | Statement: [Spain–Portugal border, culturalRegionName, Raia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raia Context triple: [Spain–Portugal border, culturalRegionName, Raia]
-
A.
Raia
Raia is an ancient Egyptian official known primarily as the son of Tuya.
-
B.
Raí
Raí is a legendary Brazilian attacking midfielder best known for his successful spells with São Paulo FC and Paris Saint-Germain, as well as his role in Brazil’s 1994 World Cup–winning squad.
-
C.
Crealla
Crealla is a small village in northern Italy that forms one of the outlying hamlets of the lakeside municipality of Cannobio in the Piedmont region.
-
D.
Noaea
Noaea is a small genus of flowering plants in the amaranth family Amaranthaceae, native to arid and semi-arid regions of Eurasia and North Africa.
-
E.
Toaripi Lauti
Toaripi Lauti was a Tuvaluan politician who became the country's first prime minister following its independence.
- 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: Raia Triple: [Spain–Portugal border, culturalRegionName, Raia]
Generated description
Raia is the culturally intertwined frontier region along the Spain–Portugal border, known for its shared traditions, dialects, and cross-border identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raia Target entity description: Raia is the culturally intertwined frontier region along the Spain–Portugal border, known for its shared traditions, dialects, and cross-border identity.
-
A.
Raia
Raia is an ancient Egyptian official known primarily as the son of Tuya.
-
B.
Raí
Raí is a legendary Brazilian attacking midfielder best known for his successful spells with São Paulo FC and Paris Saint-Germain, as well as his role in Brazil’s 1994 World Cup–winning squad.
-
C.
Crealla
Crealla is a small village in northern Italy that forms one of the outlying hamlets of the lakeside municipality of Cannobio in the Piedmont region.
-
D.
Noaea
Noaea is a small genus of flowering plants in the amaranth family Amaranthaceae, native to arid and semi-arid regions of Eurasia and North Africa.
-
E.
Toaripi Lauti
Toaripi Lauti was a Tuvaluan politician who became the country's first prime minister following its independence.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285790948190b21abfb09abbb5e5 |
completed | April 28, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b7f1c4c81909d45c8bac72e149b |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c8323fc8190b1737d7b85103e98 |
completed | May 18, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7d372e30819085fcbbf83a9f5e0a |
completed | May 18, 2026, 2:45 a.m. |
Created at: April 16, 2026, 8:26 p.m.