Triple
T12677356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linha do Tua |
E302850
|
entity |
| Predicate | impactOfClosure |
P79247
|
FINISHED |
| Object | loss of regular passenger services on most of the line |
—
|
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: loss of regular passenger services on most of the line | Statement: [Linha do Tua, impactOfClosure, loss of regular passenger services on most of the line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfClosure Context triple: [Linha do Tua, impactOfClosure, loss of regular passenger services on most of the line]
-
A.
closureImpact
chosen
Indicates the effect or consequences that a particular closure (such as a shutdown, ending, or termination) has on related entities or conditions.
-
B.
impactIfCompleted
Indicates the effect or consequence that will occur if the referenced task or action is fully completed.
-
C.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
D.
closure
Indicates that an entity is closed or not accessible/available for use, entry, or interaction.
-
E.
closureAffected
Indicates that an entity is impacted or influenced by the closing or termination of another entity, process, or resource.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.