Triple
T24016646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrtle–Wyckoff Avenues |
E594693
|
entity |
| Predicate | hasAdjacentStationOnL |
P154877
|
FINISHED |
| Object | DeKalb Avenue |
—
|
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: DeKalb Avenue | Statement: [Myrtle–Wyckoff Avenues, hasAdjacentStationOnL, DeKalb Avenue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentStationOnL Context triple: [Myrtle–Wyckoff Avenues, hasAdjacentStationOnL, DeKalb Avenue]
-
A.
hasAdjacentStationOnAC
Indicates that one station is directly next to another station along the AC line or route.
-
B.
hasAdjacentStationOnLine1
Indicates that one station is directly next to another station along Line 1 in the network.
-
C.
hasAdjacentStationSite
Indicates that one station site is located directly next to or bordering another station site.
-
D.
hasAdjacentStationOnU2
Indicates that one station is directly next to another station along the U2 line.
-
E.
hasAdjacentStationOnIND
Indicates that one station is directly next to another station on the IND (Independent Subway System) line, with no other stations in between.
- 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_69e288bc8f608190ac4af29f0bd1c744 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5a3f5a08190b7170270c4fcf080 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 9:42 p.m.