Triple
T24742022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rs |
E618588
|
entity |
| Predicate | positionRelativeToAmount |
P158100
|
FINISHED |
| Object | usually placed before the numeric amount |
—
|
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: usually placed before the numeric amount | Statement: [Rs, positionRelativeToAmount, usually placed before the numeric amount]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToAmount Context triple: [Rs, positionRelativeToAmount, usually placed before the numeric amount]
-
A.
positionAt
Indicates that one entity is located at, or occupies, a specific spatial position relative to another entity or reference frame.
-
B.
relativePosition
Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
-
C.
positionedRelativeTo
Indicates that one entity’s spatial location is defined or described in relation to the position of another entity.
-
D.
positionRelativeToTransit
Indicates the spatial relationship of an entity’s location with respect to a nearby transit feature or facility (e.g., stop, line, or station).
-
E.
positionInTimeScale
Indicates the specific point or interval an event or state occupies within a defined temporal scale or timeline.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 4:17 a.m.