Triple
T19881279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consulado station |
E477776
|
entity |
| Predicate | hasAdjacentRoleOnLine5 |
P83173
|
FINISHED |
| Object | intermediate station |
—
|
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: intermediate station | Statement: [Consulado station, hasAdjacentRoleOnLine5, intermediate station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentRoleOnLine5 Context triple: [Consulado station, hasAdjacentRoleOnLine5, intermediate station]
-
A.
hasAdjacentRole
chosen
Indicates that one role is positioned directly next to or alongside another role within a defined structure or sequence.
-
B.
hasAdjacentStationOnLine54
Indicates that one station is directly next to another station along transit line 54.
-
C.
hasAdjacentStationOnLine50
Indicates that one station is directly next to another station along transit line 50.
-
D.
hasAdjacentStationOnLine6
Indicates that one station is directly next to another station along transit line 6, with no other stations in between on that line.
-
E.
hasAdjacentStationOnLine1
Indicates that one station is directly next to another station along Line 1 in the network.
- 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.