Triple
T2983801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torquay |
E80572
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Torre
Torre is a residential and commercial district within the seaside town of Torquay in Devon, England.
|
E316379
|
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: Torre | Statement: [Torquay, hasNeighbourhood, Torre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torre Context triple: [Torquay, hasNeighbourhood, Torre]
-
A.
Torre
Torre is a neighborhood in the Brazilian city of Recife, known for its residential character and urban amenities.
-
B.
Torre
Torre is a surname most prominently associated with Joe Torre, the Hall of Fame Major League Baseball manager and former player.
-
C.
Renaissance Tower
Renaissance Tower is a prominent modernist office skyscraper and one of the most recognizable landmarks in the Dallas, Texas skyline.
-
D.
Torre de Cerredo
Torre de Cerredo is the highest peak in Spain’s Picos de Europa range, renowned for its dramatic limestone cliffs and challenging alpine climbs.
-
E.
Central Place Tower
Central Place Tower is a prominent mixed-use skyscraper in the Rosslyn neighborhood of Arlington, Virginia, known for its office space, residential units, and observation deck with views of the Washington, D.C. skyline.
- 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: Torre Triple: [Torquay, hasNeighbourhood, Torre]
Generated description
Torre is a residential and commercial district within the seaside town of Torquay in Devon, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torre Target entity description: Torre is a residential and commercial district within the seaside town of Torquay in Devon, England.
-
A.
Torre
Torre is a surname most prominently associated with Joe Torre, the Hall of Fame Major League Baseball manager and former player.
-
B.
Torre
Torre is a neighborhood in the Brazilian city of Recife, known for its residential character and urban amenities.
-
C.
Renaissance Tower
Renaissance Tower is a prominent modernist office skyscraper and one of the most recognizable landmarks in the Dallas, Texas skyline.
-
D.
Torre de Cerredo
Torre de Cerredo is the highest peak in Spain’s Picos de Europa range, renowned for its dramatic limestone cliffs and challenging alpine climbs.
-
E.
Central Place Tower
Central Place Tower is a prominent mixed-use skyscraper in the Rosslyn neighborhood of Arlington, Virginia, known for its office space, residential units, and observation deck with views of the Washington, D.C. skyline.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c481fc81909971c96352a881b4 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108f8b2b08190904cf89befe656dd |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10bacb1588190868ae703c437e57e |
completed | March 11, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10bf903748190a203f0ea97332212 |
completed | March 11, 2026, 6:30 a.m. |
Created at: March 8, 2026, 2:59 p.m.