Triple
T37818756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Board (Shenzhen Stock Exchange) |
E942847
|
entity |
| Predicate | hasSegmentRelation |
P33476
|
FINISHED |
| Object | coexists with SME Board |
—
|
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: coexists with SME Board | Statement: [Main Board (Shenzhen Stock Exchange), hasSegmentRelation, coexists with SME Board]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSegmentRelation Context triple: [Main Board (Shenzhen Stock Exchange), hasSegmentRelation, coexists with SME Board]
-
A.
hasSegmentFrom
Indicates that something includes or contains a segment that originates from or is derived from another specified source.
-
B.
hasSegmentWith
Indicates that an entity contains or includes at least one segment that satisfies a specified condition or matches a given segment.
-
C.
hasSegmentOn
Indicates that one entity includes or occupies a specific segment or portion on another entity (such as a line, path, or sequence).
-
D.
belongsToSegment
Indicates that an entity is a member of, or associated with, a specific segment or subgroup within a larger set.
-
E.
hasRelation
chosen
Indicates that there exists some specified relationship or association between two entities.
- 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00a846a8f881908b073ad13a5af6ca |
completed | May 10, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_6a00a7aae194819085e1a2fd406f7922 |
completed | May 10, 2026, 3:43 p.m. |
Created at: May 3, 2026, 4:19 p.m.