Triple
T24531450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Andes, Chile |
E606820
|
entity |
| Predicate | hasFunctionOnRoute |
P156625
|
FINISHED |
| Object | staging point for trans-Andean traffic |
—
|
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: staging point for trans-Andean traffic | Statement: [Los Andes, Chile, hasFunctionOnRoute, staging point for trans-Andean traffic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFunctionOnRoute Context triple: [Los Andes, Chile, hasFunctionOnRoute, staging point for trans-Andean traffic]
-
A.
hasRoute
Indicates that there exists a path or connection enabling travel or communication from one entity to another.
-
B.
hasFunctionInPresent
Indicates that an entity currently performs, exhibits, or fulfills a specific function or role at the present time.
-
C.
hasServiceFunction
Indicates that an entity performs, provides, or is responsible for a particular service-related function or role.
-
D.
isRouteOn
Indicates that one route is located on, follows along, or is aligned with another specified path or infrastructure.
-
E.
hasFunctionAtSite
Indicates that an entity performs or exhibits a specific function at a particular site or location.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:25 a.m.