Triple
T16592924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isla del Rey |
E403134
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
La Guinea
La Guinea is a small settlement located on Isla del Rey in Spain’s Balearic Islands.
|
E1227724
|
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 Guinea | Statement: [Isla del Rey, hasSettlement, La Guinea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Guinea Context triple: [Isla del Rey, hasSettlement, La Guinea]
-
A.
Guinea
Guinea is a West African country on the Atlantic coast known for its rich mineral resources, diverse ethnic groups, and role as a major producer of bauxite.
-
B.
Republic of Guinea
The Republic of Guinea is a West African country rich in natural resources, particularly bauxite, with a predominantly Muslim population and a history of French colonial rule.
-
C.
Gabon
Gabon is a Central African country on the Atlantic coast, known for its equatorial rainforests, rich biodiversity, and significant oil reserves.
-
D.
Gaboni
Gaboni is a small locality in southern Poland situated near the Beskid Sądecki mountain range, serving as a starting point for hikes to nearby peaks such as Przehyba.
-
E.
Costa d’Oiro
Costa d’Oiro is a scenic coastal area near Lagos in Portugal’s Algarve region, known for its golden cliffs, sheltered coves, and picturesque beaches.
- 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 Guinea Triple: [Isla del Rey, hasSettlement, La Guinea]
Generated description
La Guinea is a small settlement located on Isla del Rey in Spain’s Balearic Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Guinea Target entity description: La Guinea is a small settlement located on Isla del Rey in Spain’s Balearic Islands.
-
A.
Guinea
Guinea is a West African country on the Atlantic coast known for its rich mineral resources, diverse ethnic groups, and role as a major producer of bauxite.
-
B.
Republic of Guinea
The Republic of Guinea is a West African country rich in natural resources, particularly bauxite, with a predominantly Muslim population and a history of French colonial rule.
-
C.
Gabon
Gabon is a Central African country on the Atlantic coast, known for its equatorial rainforests, rich biodiversity, and significant oil reserves.
-
D.
Gaboni
Gaboni is a small locality in southern Poland situated near the Beskid Sądecki mountain range, serving as a starting point for hikes to nearby peaks such as Przehyba.
-
E.
Costa d’Oiro
Costa d’Oiro is a scenic coastal area near Lagos in Portugal’s Algarve region, known for its golden cliffs, sheltered coves, and picturesque beaches.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d6fcaa48190b1ba7dc3b792041a |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a275910819086b49ce741045ecf |
completed | May 10, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a008abfcb4481908efb8a1cb3c0086e |
completed | May 10, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008b55b28c8190bb2d63c7fe0db2cc |
completed | May 10, 2026, 1:42 p.m. |
Created at: April 10, 2026, 5:16 a.m.