Triple
T10340536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landau interaction function |
E243116
|
entity |
| Predicate | definedNear |
P93779
|
FINISHED |
| Object | Fermi surface |
—
|
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: Fermi surface | Statement: [Landau interaction function, definedNear, Fermi surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definedNear Context triple: [Landau interaction function, definedNear, Fermi surface]
-
A.
near
Indicates that one entity is located at a short distance from another entity in space or position.
-
B.
occursNear
Indicates that one event or entity takes place or exists in close spatial proximity to another.
-
C.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
D.
meetsNear
Indicates that two entities meet or come together at a location that is in close proximity to a specified reference point or area.
-
E.
separatesNear
Indicates that one entity divides or partitions another entity or space while remaining in close proximity to it.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:54 a.m.