Triple
T8851074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alajeró |
E210638
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Targa
Targa is a small settlement located within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
|
E763499
|
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: Targa | Statement: [Alajeró, contains, Targa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Targa Context triple: [Alajeró, contains, Targa]
-
A.
Carrera
Carrera is a model designation used by Porsche for high-performance variants of its 911 sports car, known for their speed, handling, and iconic design.
-
B.
Carrera
Carrera is a Spanish-language surname of Basque origin borne by various notable figures in Hispanic history and culture.
-
C.
Carrera
Carrera is a renowned line of luxury sports watches produced by the Swiss watchmaker TAG Heuer, known for its racing-inspired design and chronograph functionality.
-
D.
LJ Torana
LJ Torana is a model of the Holden Torana, a compact Australian car produced by Holden in the early 1970s and popular in both everyday use and motorsport.
-
E.
LH Torana
The LH Torana is a mid-1970s Australian compact car model produced by Holden, best known for its performance-oriented variants and success in touring car racing.
- 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: Targa Triple: [Alajeró, contains, Targa]
Generated description
Targa is a small settlement located within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Targa Target entity description: Targa is a small settlement located within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
-
A.
Carrera
Carrera is a model designation used by Porsche for high-performance variants of its 911 sports car, known for their speed, handling, and iconic design.
-
B.
Carrera
Carrera is a Spanish-language surname of Basque origin borne by various notable figures in Hispanic history and culture.
-
C.
Carrera
Carrera is a renowned line of luxury sports watches produced by the Swiss watchmaker TAG Heuer, known for its racing-inspired design and chronograph functionality.
-
D.
LJ Torana
LJ Torana is a model of the Holden Torana, a compact Australian car produced by Holden in the early 1970s and popular in both everyday use and motorsport.
-
E.
LH Torana
The LH Torana is a mid-1970s Australian compact car model produced by Holden, best known for its performance-oriented variants and success in touring car racing.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c2300c819097b1ca6ebe2f749a |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa08315fc8190b901adfc76348e18 |
completed | April 3, 2026, 11:12 a.m. |
| NEDg | Description generation | batch_69cfa2a53044819099aa7bb401cd4ba6 |
completed | April 3, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa3a03b7c819085fa31d853c79392 |
completed | April 3, 2026, 11:25 a.m. |
Created at: March 30, 2026, 6:49 p.m.