Triple
T17261621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Retiro district |
E419021
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Arganzuela district |
E533339
|
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: Arganzuela district | Statement: [Retiro district, borderedBy, Arganzuela district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arganzuela district Context triple: [Retiro district, borderedBy, Arganzuela district]
-
A.
Arganzuela district
chosen
Arganzuela district is a central district of Madrid, Spain, known for its mix of residential neighborhoods, cultural venues, and proximity to the Manzanares River.
-
B.
Albayzín district
The Albayzín district is Granada’s historic Moorish quarter, characterized by narrow winding streets, whitewashed houses, and iconic views of the Alhambra.
-
C.
La Kalsa district
La Kalsa district is a historic seaside quarter of Palermo, Sicily, known for its Arab-Norman heritage, narrow streets, and vibrant local culture.
-
D.
Belén district
Belén district is a riverside neighborhood in Iquitos, Peru, known for its stilt houses, floating structures, and bustling traditional market.
-
E.
La Molina district
La Molina district is an affluent residential and educational district located in the eastern part of Lima, Peru.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e717a348190ae6835fb08f38125 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0179445cac8190833eb7cd879a93bd |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:39 a.m.