Triple
T11484133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天河区 |
E272229
|
entity |
| Predicate | 著名产业 |
P13800
|
FINISHED |
| Object | 金融业 |
—
|
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: 金融业 | Statement: [天河区, 著名产业, 金融业]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 著名产业 Context triple: [天河区, 著名产业, 金融业]
-
A.
notableIndustry
chosen
Indicates that an entity is significantly recognized or prominent within a specified industry or sector.
-
B.
notableBusinessType
Indicates that an entity is notably associated with, characterized by, or best known for a particular type of business.
-
C.
notableEnterprise
Indicates that an entity is a business or commercial organization recognized for its significance, prominence, or impact.
-
D.
notableCommercial
Indicates that an entity is particularly well-known or significant in a commercial context, such as advertising, marketing, or business promotion.
-
E.
notableRegionOfBusiness
Indicates that a specified geographic region is a significant or primary area in which an entity conducts its business activities.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1ea00c8190b42cdc13a6bc61c3 |
completed | April 10, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.