Triple
T19881280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consulado station |
E477776
|
entity |
| Predicate | networkSignificance |
P87152
|
FINISHED |
| Object | important transfer point between Line 4 and Line 5 |
—
|
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: important transfer point between Line 4 and Line 5 | Statement: [Consulado station, networkSignificance, important transfer point between Line 4 and Line 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkSignificance Context triple: [Consulado station, networkSignificance, important transfer point between Line 4 and Line 5]
-
A.
networkImportance
chosen
Indicates the degree to which an entity plays a critical or influential role within a network’s structure or functioning.
-
B.
networkLevel
Indicates the hierarchical position or tier an entity occupies within a network structure.
-
C.
mediaSignificance
Indicates the degree of importance, impact, or prominence that something holds within media coverage or representation.
-
D.
rankingImpact
Indicates how an entity’s position or level in a ranking is affected or influenced by another factor or action.
-
E.
rankSignificance
Indicates how important or influential one entity is relative to others within a specified context or ordering.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658df3f5c81909b5b290de91b8d50 |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.