Triple
T29130790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9 de Julio station |
E738368
|
entity |
| Predicate | isLocatedBeneathMainArtery |
P177326
|
FINISHED |
| Object | Avenida 9 de Julio |
—
|
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: Avenida 9 de Julio | Statement: [9 de Julio station, isLocatedBeneathMainArtery, Avenida 9 de Julio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedBeneathMainArtery Context triple: [9 de Julio station, isLocatedBeneathMainArtery, Avenida 9 de Julio]
-
A.
isMajorArterialFor
Indicates that something functions as a primary high-capacity route or conduit serving as a main channel for movement, flow, or traffic for something else.
-
B.
connectsToMainLineAt
Indicates that one entity is linked or joined to a primary or central line at a specific point.
-
C.
isMainRoad
Indicates that a road serves as a primary or major thoroughfare within a transportation network.
-
D.
hasArterialRoad
Indicates that one location or area is connected to or served by a major arterial road used for primary traffic flow.
-
E.
isMinorRoadIn
Indicates that a minor (smaller or less significant) road is located within or forms part of a specified larger area, route, or network.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 28, 2026, 11:31 a.m.