Triple
T33931583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libertad LRT station |
E869909
|
entity |
| Predicate | hasElevatedWalkways |
P36639
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Libertad LRT station, hasElevatedWalkways, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElevatedWalkways Context triple: [Libertad LRT station, hasElevatedWalkways, yes]
-
A.
hasEmergencyWalkway
Indicates that there is a designated emergency walkway available or present between the related entities.
-
B.
hasElevatedSidewalkSystem
chosen
Indicates that a place features a network of sidewalks or walkways that are raised above ground level, typically connecting buildings or areas without using street-level paths.
-
C.
hasEntranceElevation
Indicates the elevation at which an entity’s entrance is located, typically measured relative to a reference level such as sea level or ground level.
-
D.
hasElevators
Indicates that one entity is equipped with or contains one or more elevators for vertical transportation.
-
E.
hasEscalators
Indicates that one entity is equipped with or contains escalators that can be used for movement between different levels or areas.
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 1, 2026, 1:49 a.m.