Triple
T31221076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 万达广场 |
E796009
|
entity |
| Predicate | 目标客群 |
P481
|
FINISHED |
| Object | 城市中产阶层 |
—
|
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: 城市中产阶层 | Statement: [万达广场, 目标客群, 城市中产阶层]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 目标客群 Context triple: [万达广场, 目标客群, 城市中产阶层]
-
A.
targetMarket
chosen
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
-
B.
targetsGroup
Indicates that an action, influence, or effect is directed toward a specific group as its intended recipient or focus.
-
C.
investorTargetGroup
Indicates that a particular group or segment is the intended or primary focus of investment efforts or strategies.
-
D.
targetAudienceTheme
Indicates the thematic focus or type of audience that a work, message, or product is specifically intended to appeal to or address.
-
E.
targetOutcomeForClients
Indicates the specific result or benefit that an action, service, or process is intended to achieve for clients.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c4d35848190bd5a2dd81851bea3 |
completed | May 3, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69f696673214819094350e1d2648ef34 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:10 p.m.