Triple
T35465288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tren Chillán–Alameda |
E1025050
|
entity |
| Predicate | mainUrbanTerminus |
P183316
|
FINISHED |
| Object | Santiago’s Estación Central |
—
|
NE NERFINISHED |
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: Santiago’s Estación Central | Statement: [Tren Chillán–Alameda, mainUrbanTerminus, Santiago’s Estación Central]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainUrbanTerminus Context triple: [Tren Chillán–Alameda, mainUrbanTerminus, Santiago’s Estación Central]
-
A.
mainUrbanPlan
Indicates the primary urban planning scheme or framework that governs the development and organization of a given area.
-
B.
wasUrbanDistrict
Indicates that an entity previously held the status of an urban district within an administrative or governmental hierarchy.
-
C.
isUrbanSectionOf
Indicates that one area or segment is the part of a larger entity that lies within an urban or city environment.
-
D.
isUrbanDistrict
Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
-
E.
modernCityIs
Indicates that something possesses the characteristics or status of being a modern city.
- F. None of above. chosen
Provenance (4 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79da8d8848190ab5ab1bdad95d58c |
completed | May 3, 2026, 7:10 p.m. |
Created at: May 3, 2026, 4:04 p.m.