Triple
T12122453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bielsa |
E288726
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | High Aragon |
E555123
|
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: High Aragon | Statement: [Bielsa, hasRegion, High Aragon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Aragon Context triple: [Bielsa, hasRegion, High Aragon]
-
A.
Aragunnu
Aragunnu is a coastal area within Mimosa Rocks National Park in New South Wales, Australia, known for its scenic beaches, rocky headlands, and Aboriginal cultural sites.
-
B.
Gisondo
Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
-
C.
Aínsa
chosen
Aínsa is a historic medieval town in northeastern Spain, renowned for its well-preserved old quarter and hilltop castle overlooking the Pyrenees.
-
D.
Semprún
Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
-
E.
Aranzazu
Aranzazu is a small Colombian town located in the mountainous coffee-growing region of the Caldas Department.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91578fd88819099adf55c93d549fc |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f684172c81908b77daa243dc8ed8 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.