Triple
T15756017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moncloa district |
E381968
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Centro district |
E588051
|
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: Centro district | Statement: [Moncloa district, borderedBy, Centro district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centro district Context triple: [Moncloa district, borderedBy, Centro district]
-
A.
Centro district
chosen
The Centro district is the historic heart of Madrid, encompassing many of the city’s main landmarks, shopping streets, and cultural attractions.
-
B.
Prazeres district
Prazeres district is an urban neighborhood and administrative area within the coastal city of Jaboatão dos Guararapes in the state of Pernambuco, Brazil.
-
C.
Mercado District
Mercado District is a mixed-use neighborhood in Tucson, Arizona, known for its vibrant public market, local shops, and transit-oriented development near downtown.
-
D.
Retiro district
Retiro district is a central district of Madrid, Spain, known for encompassing the famous El Retiro Park and several historic neighborhoods.
-
E.
Ciutat Vella district
Ciutat Vella district is Barcelona’s historic city center, known for its medieval streets, Gothic architecture, and dense concentration of cultural and tourist landmarks.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b1ff4881909d5240d1d30f5c8b |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff87714a8481909f8489c73ac89c11 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.