Triple
T26425435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Target Greatland |
E664358
|
entity |
| Predicate | hasLargerFormatThan |
P10621
|
FINISHED |
| Object | standard Target store |
—
|
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: standard Target store | Statement: [Target Greatland, hasLargerFormatThan, standard Target store]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLargerFormatThan Context triple: [Target Greatland, hasLargerFormatThan, standard Target store]
-
A.
hasHigherResolutionThan
Indicates that one entity has a greater level of detail or clarity in its representation or measurement than another entity.
-
B.
hasHigherQualityThan
Indicates that one entity possesses a superior level of quality compared to another entity.
-
C.
hasAtLargeFormatSince
Indicates that an entity has been available or operating in a large-format version starting from a specified point in time.
-
D.
largerThan
chosen
Indicates that one entity has a greater size, extent, or magnitude than another entity.
-
E.
hasBetterColorReproductionThan
Indicates that one entity produces more accurate or higher-quality color representation than another 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 26, 2026, 11:45 p.m.