Triple
T24989810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-10 |
E625414
|
entity |
| Predicate | adjacentCodeDirectionEast |
P721
|
FINISHED |
| Object | T-09 |
—
|
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: T-09 | Statement: [T-10, adjacentCodeDirectionEast, T-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentCodeDirectionEast Context triple: [T-10, adjacentCodeDirectionEast, T-09]
-
A.
directionEastSide
Indicates that one entity is located on or oriented toward the eastern side of another entity.
-
B.
adjacentStationTowardsSouth
Indicates that one station is directly next to another in the southward direction along a route or line.
-
C.
adjacentTimeZoneEast
chosen
Indicates that one time zone is directly to the east of another, sharing a common boundary without any intervening time zones.
-
D.
adjacentCityNorth
Indicates that one city is directly to the north of another city and shares a common boundary or is immediately neighboring it in that direction.
-
E.
adjacentRouteWest
Indicates that one route is directly adjacent to another on its western side.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:03 a.m.