Triple
T223603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AScX |
E4267
|
entity |
| Predicate | hasConstituents |
P6523
|
FINISHED |
| Object | small-cap Dutch stocks |
—
|
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: small-cap Dutch stocks | Statement: [AScX, hasConstituents, small-cap Dutch stocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConstituents Context triple: [AScX, hasConstituents, small-cap Dutch stocks]
-
A.
numberOfConstituents
Indicates the total count of individual components or members that make up a larger whole or group.
-
B.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
C.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
D.
hasListOfMembers
chosen
Indicates that an entity is associated with a collection containing its members or constituents.
-
E.
hasSubdivision
Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b5739dc8190bad8bfa330ce0499 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.