Triple
T38217059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foursquare emblem |
E1010714
|
entity |
| Predicate | hasNumberOfMainElements |
P86634
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Foursquare emblem, hasNumberOfMainElements, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfMainElements Context triple: [Foursquare emblem, hasNumberOfMainElements, 4]
-
A.
hasMainElements
Indicates that something possesses or is composed of its primary or most important constituent parts.
-
B.
numberOfMainElements
chosen
Indicates the quantity of primary or central elements associated with an entity or structure.
-
C.
hasMainStructure
Indicates that one entity serves as the primary or central structural component of another entity.
-
D.
hasNumberOfMainModes
Indicates the relationship that specifies how many primary or main modes (e.g., ways of operation or types) are associated with a given entity.
-
E.
hasNumberOfMainLights
Indicates the relationship that specifies how many primary or main lights are associated with an entity.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
Created at: May 3, 2026, 4:30 p.m.