Triple
T27080697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombian National Railway network |
E685586
|
entity |
| Predicate | currentPolicyFocus |
P1876
|
FINISHED |
| Object | rehabilitation for freight corridors |
—
|
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: rehabilitation for freight corridors | Statement: [Colombian National Railway network, currentPolicyFocus, rehabilitation for freight corridors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentPolicyFocus Context triple: [Colombian National Railway network, currentPolicyFocus, rehabilitation for freight corridors]
-
A.
policyFocus
chosen
Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
-
B.
policyTopic
Indicates that one entity is about, concerned with, or categorized under a particular policy-related subject or theme.
-
C.
currentPoliticalTrend
Indicates the prevailing direction or pattern of political attitudes, behaviors, or power dynamics at a given time.
-
D.
currentPolicy
Indicates that a given policy is the one presently in effect or actively governing the relevant context.
-
E.
coordinatesNationalPoliciesFor
Indicates that one entity organizes and harmonizes national-level policies or strategies across multiple actors or domains.
- 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 27, 2026, 8:34 a.m.