Triple
T24853349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Pablo station |
E621951
|
entity |
| Predicate | previousStationOnLine1 |
P158684
|
FINISHED |
| Object | Neptuno station |
—
|
NE NERFINISHED |
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: Neptuno station | Statement: [San Pablo station, previousStationOnLine1, Neptuno station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousStationOnLine1 Context triple: [San Pablo station, previousStationOnLine1, Neptuno station]
-
A.
precedingStationOnLine10
Indicates that one station is immediately before another station along the route of line 10.
-
B.
precedingStationOnLine2
Indicates that one station is immediately before another station along the sequence of stops on transit line 2.
-
C.
previousStationOnLine1Northbound
Indicates that one station is immediately before another station when traveling northbound on line 1.
-
D.
precedingStation
Indicates that one station is located immediately before another station in a route or sequence.
-
E.
precedingStationOnLine4
Indicates that one station is immediately before another station in the ordered sequence of stops on transit line 4.
- 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_69e2fac297e481909d3aedc75f585e42 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f47b7f657c81908174590c811a3cbf |
completed | May 1, 2026, 10:07 a.m. |
Created at: April 18, 2026, 5:21 a.m.