Triple
T15568579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serra da Estrela Natural Park |
E374179
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Torre |
E762141
|
NE FINISHED |
How this triple was built (2 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: [Serra da Estrela Natural Park, highestPoint, Torre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torre Context triple: [Serra da Estrela Natural Park, highestPoint, Torre]
-
A.
Torre
Torre is a neighborhood in the Brazilian city of Recife, known for its residential character and urban amenities.
-
B.
Torre
chosen
Torre is the summit that marks the highest elevation in mainland Portugal, located in the Serra da Estrela mountain range.
-
C.
Torre
The Torre is a river in northeastern Italy that flows through the Friuli-Venezia Giulia region before joining the Isonzo River.
-
D.
Torre
Torre is a surname most prominently associated with Joe Torre, the Hall of Fame Major League Baseball manager and former player.
-
E.
Torre
Torre is a residential and commercial district within the seaside town of Torquay in Devon, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4440a481909699a7eee25a4b24 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:10 a.m.