Triple
T11490086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narvarte |
E272382
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Vértiz Narvarte |
E272387
|
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: Vértiz Narvarte | Statement: [Narvarte, hasSubdivision, Vértiz Narvarte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vértiz Narvarte Context triple: [Narvarte, hasSubdivision, Vértiz Narvarte]
-
A.
Vértiz Narvarte
chosen
Vértiz Narvarte is a residential and commercial neighborhood in Mexico City known for its central location, urban layout, and mix of mid-rise housing and local businesses.
-
B.
Cerro Huelén
Cerro Huelén is the historic hill in central Santiago, Chile, now known as Cerro Santa Lucía, notable as a key colonial landmark and urban park.
-
C.
Jerez Peak
Jerez Peak is the highest mountain on Clarence Island in the South Shetland Islands of Antarctica.
-
D.
Montes de León
Montes de León is a mountain range in northwestern Spain known for its rugged terrain and role as a natural link between the Cantabrian Mountains and the Galician Massif.
-
E.
Mulhacén
Mulhacén is the tallest mountain in mainland Spain, located in the Sierra Nevada range of the Iberian Peninsula.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a20df608190992543b4d7006f8a |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6046ec5108190a0294cc86e1b60cc |
completed | April 20, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:36 p.m.