Triple
T25778923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merkland Stand |
E649231
|
entity |
| Predicate | hasNeighbouringStand |
P137347
|
FINISHED |
| Object | Richard Donald Stand |
—
|
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: Richard Donald Stand | Statement: [Merkland Stand, hasNeighbouringStand, Richard Donald Stand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeighbouringStand Context triple: [Merkland Stand, hasNeighbouringStand, Richard Donald Stand]
-
A.
hasAdjacentStationOnAC
Indicates that one station is directly next to another station along the AC line or route.
-
B.
hasRivalStand
Indicates that one entity maintains a competing or opposing stand, position, or operation in relation to another entity.
-
C.
hasNeighbouringUnit
chosen
Indicates that one unit is directly adjacent to and shares a boundary or side with another unit.
-
D.
hasAdjacentStationOnM
Indicates that one station is directly next to another station along metro line M, with no other stations in between.
-
E.
hasAdjacentStationOnL
Indicates that one station is directly next to another station along line L 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 22, 2026, 5:36 a.m.