Triple
T26560766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenida Segunda |
E666233
|
entity |
| Predicate | relativeImportanceInCity |
P132799
|
FINISHED |
| Object | one of the main commercial streets of San José |
—
|
LITERAL 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: one of the main commercial streets of San José | Statement: [Avenida Segunda, relativeImportanceInCity, one of the main commercial streets of San José]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeImportanceInCity Context triple: [Avenida Segunda, relativeImportanceInCity, one of the main commercial streets of San José]
-
A.
localImportance
Indicates that something holds particular significance, influence, or priority within a specific, limited context or area rather than globally.
-
B.
cityWideSignificance
chosen
Indicates that something has importance, impact, or relevance at the scale of an entire city rather than just a local or individual level.
-
C.
relativeImportanceInCountry
Indicates the comparative significance or priority of something within the context of a specific country.
-
D.
relevanceToCity
Indicates that something has a meaningful connection, impact, or applicability to a particular city.
-
E.
relativeImportanceAtAirport
Indicates the comparative level of importance or priority assigned to entities within the context of an airport.
- F. None of above.
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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: April 27, 2026, 1:52 a.m.