Triple
T1975598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Market |
E42903
|
entity |
| Predicate | listingType |
P32980
|
FINISHED |
| Object | regulated market |
—
|
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: regulated market | Statement: [Main Market, listingType, regulated market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listingType Context triple: [Main Market, listingType, regulated market]
-
A.
listType
Indicates that one entity specifies the classification or category type of a list associated with another entity.
-
B.
listedWith
Indicates that an entity is included as an item or entry within a particular list, catalog, or collection.
-
C.
listedOn
Indicates that an item, entity, or piece of information appears as an entry on a particular list, platform, or catalog.
-
D.
primaryListing
Indicates that one item in a set of listings is designated as the main or most authoritative listing for a given entity or context.
-
E.
catalogueType
Indicates the classification or category assigned to an item within a catalogue or cataloging system.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f835108190b0709ccf3a487a96 |
completed | March 7, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69abaff9a09c8190a81fa13f4b85bc79 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb09b27e88190bff164040fef6d7e |
completed | March 7, 2026, 4:59 a.m. |
Created at: March 4, 2026, 7:36 p.m.