Triple
T23200315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penneys |
E579987
|
entity |
| Predicate | legalNameUsed |
P42471
|
FINISHED |
| Object | Primark Stores Limited |
—
|
NE NERFINISHED |
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: Primark Stores Limited | Statement: [Penneys, legalNameUsed, Primark Stores Limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalNameUsed Context triple: [Penneys, legalNameUsed, Primark Stores Limited]
-
A.
realName
Indicates that one entity is the actual, full, or birth name of another entity, which may be known by an alias, nickname, or alternate identity.
-
B.
nameUsedFor
chosen
Indicates that a particular name is used to refer to or designate a given entity.
-
C.
usesNameForm
Indicates that one entity adopts or applies a particular standardized form or variant of a name associated with another entity.
-
D.
previousNameUsedUntil
Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
-
E.
surnameUsedIn
Indicates that a particular surname is used or borne within a specified context, such as by a person, family, or group.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19078f28c8190973f1bd6f2bceb5a |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:06 p.m.