Triple
T242118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HauteLook |
E4953
|
entity |
| Predicate | saleFormat |
P4952
|
FINISHED |
| Object | time-limited events |
—
|
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: time-limited events | Statement: [HauteLook, saleFormat, time-limited events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: saleFormat Context triple: [HauteLook, saleFormat, time-limited events]
-
A.
fareDiscount
Indicates that a reduced price is applied to a standard fare for a product or service.
-
B.
offersProgram
Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
-
C.
purchasePrice
Indicates the monetary amount paid or agreed to be paid to acquire something in a purchase transaction.
-
D.
hasRetailFormat
chosen
Indicates that one entity operates or is organized according to a particular retail format or store type.
-
E.
digitalSalesMilestone
Indicates that a specific target or significant achievement has been reached in the context of digital product or service sales.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b60ad308190b12f119960a8bde7 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.