Triple
T30955981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 恒隆广场 |
E788676
|
entity |
| Predicate | 写字楼等级 |
P170838
|
FINISHED |
| Object | 甲级写字楼 |
—
|
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: 甲级写字楼 | Statement: [恒隆广场, 写字楼等级, 甲级写字楼]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 写字楼等级 Context triple: [恒隆广场, 写字楼等级, 甲级写字楼]
-
A.
office held level
Indicates the hierarchical level or rank at which an office or position is held within an organizational or governmental structure.
-
B.
isOfficeTower
Indicates that a structure functions primarily as a multi-story building used for office or commercial workspace purposes.
-
C.
isHighRise
Indicates that a building or structure is classified as a high-rise, typically due to its height exceeding a defined multi-story threshold.
-
D.
leagueLevelOfTenant
Indicates the competitive league tier or division in which the tenant entity participates or is classified.
-
E.
isMajorOfficeBuildingIn
Indicates that a building is a primary or significant office structure located within a specified geographic or administrative area.
- F. None of above. chosen
Provenance (4 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:54 p.m.