Triple
T12771040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vraja Mandala |
E305246
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Raval |
E884797
|
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: Raval | Statement: [Vraja Mandala, hasPart, Raval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raval Context triple: [Vraja Mandala, hasPart, Raval]
-
A.
Raval
chosen
Raval is a historic and culturally diverse neighborhood in central Barcelona, Spain, known for its vibrant street life, arts scene, and mix of old and new architecture.
-
B.
Matadepera
Matadepera is a municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its residential character and proximity to the Sant Llorenç del Munt i l'Obac Natural Park.
-
C.
Barrio Bajo
Barrio Bajo is the lower neighborhood district of Trévélez, a mountain village in Spain’s Alpujarras region.
-
D.
El Realejo
El Realejo is a historic coastal town and former colonial port in northwestern Nicaragua.
-
E.
Barri Vell
Barri Vell is the historic old quarter of Girona, known for its medieval streets, ancient city walls, and well-preserved architectural heritage.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f9ba848190b680d730b6a3b972 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:28 p.m.