Triple
T596182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Shopping Festival |
E17387
|
entity |
| Predicate | mainCitywideActivity |
P1164
|
FINISHED |
| Object | retail sales |
—
|
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: retail sales | Statement: [Dubai Shopping Festival, mainCitywideActivity, retail sales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCitywideActivity Context triple: [Dubai Shopping Festival, mainCitywideActivity, retail sales]
-
A.
mainCityCelebrations
Indicates that major celebratory events or festivities are held in or associated with a particular main city.
-
B.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
-
C.
typicalActivity
chosen
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
D.
activityStartApprox
Indicates that the start time of an activity is known only approximately, rather than as an exact timestamp.
-
E.
city1
Indicates that the subject is classified as a city.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd3e5e08190be95cb2009aad42d |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494ceeb7881909a91ed1a35d5bf0a |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.