Triple
T17826149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Cosme |
E445121
|
entity |
| Predicate | precedingStationOnLine2 |
P129345
|
FINISHED |
| Object | Normal |
—
|
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: Normal | Statement: [San Cosme, precedingStationOnLine2, Normal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedingStationOnLine2 Context triple: [San Cosme, precedingStationOnLine2, Normal]
-
A.
precedingStationOnLine4
Indicates that one station is immediately before another station in the ordered sequence of stops on transit line 4.
-
B.
precedingStation
Indicates that one station is located immediately before another station in a route or sequence.
-
C.
precedingStationOnLine10
Indicates that one station is immediately before another station along the route of line 10.
-
D.
adjacentStationOnLine2
Indicates that one station is directly next to another station along line 2 in a transit or rail network.
-
E.
precedingStationOnRedLine
Indicates that one station is immediately before another station along the route of the Red Line.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48914e20481908883d1da194f446c |
completed | April 19, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3f022ec448190a9bf191be1c5f570 |
completed | April 18, 2026, 8:57 p.m. |
Created at: April 10, 2026, 10:15 a.m.