Triple
T27699590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nangang District |
E698391
|
entity |
| Predicate | educationCenterOf |
P345
|
FINISHED |
| Object | Harbin |
—
|
NE NERFINISHED |
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: Harbin | Statement: [Nangang District, educationCenterOf, Harbin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationCenterOf Context triple: [Nangang District, educationCenterOf, Harbin]
-
A.
educationCenterType
Indicates the specific kind or category of educational institution or facility associated with an entity.
-
B.
isEducationalCenterOf
chosen
Indicates that an institution functions as the primary educational center serving, representing, or associated with a particular area, organization, or group.
-
C.
educationFacility
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
D.
isEducationCentre
Indicates that an entity functions as a place or institution where educational activities, instruction, or learning services are provided.
-
E.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
- 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_69ef590ea74081908f0cd7500d85fa27 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 2:56 p.m.