Triple
T7107771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Rosario |
E165629
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Tabaiba
Tabaiba is a coastal residential village on the island of Tenerife in Spain’s Canary Islands, known for its seaside setting and proximity to the municipality of El Rosario.
|
E642559
|
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: Tabaiba | Statement: [El Rosario, containsSettlement, Tabaiba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabaiba Context triple: [El Rosario, containsSettlement, Tabaiba]
-
A.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
B.
Sheyla
Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
-
C.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
D.
Angourie
Angourie is a small coastal village in New South Wales, Australia, renowned for its surf breaks and scenic beaches.
-
E.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
- 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: Tabaiba Triple: [El Rosario, containsSettlement, Tabaiba]
Generated description
Tabaiba is a coastal residential village on the island of Tenerife in Spain’s Canary Islands, known for its seaside setting and proximity to the municipality of El Rosario.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tabaiba Target entity description: Tabaiba is a coastal residential village on the island of Tenerife in Spain’s Canary Islands, known for its seaside setting and proximity to the municipality of El Rosario.
-
A.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
B.
Sheyla
Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
-
C.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
D.
Angourie
Angourie is a small coastal village in New South Wales, Australia, renowned for its surf breaks and scenic beaches.
-
E.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5bbd4e481909e0948d01c6b15f4 |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cb4840881908196e447618b38b0 |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79e779190819095aa5ab32c150d44 |
completed | March 28, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79f0b2a6c819091a2d72942f8f8c5 |
completed | March 28, 2026, 9:27 a.m. |
Created at: March 27, 2026, 2:42 p.m.