Triple
T7563741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hohai University |
E178856
|
entity |
| Predicate | hasKeyDisciplineStatusInChina |
P38909
|
FINISHED |
| Object | hydraulic engineering |
—
|
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: hydraulic engineering | Statement: [Hohai University, hasKeyDisciplineStatusInChina, hydraulic engineering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyDisciplineStatusInChina Context triple: [Hohai University, hasKeyDisciplineStatusInChina, hydraulic engineering]
-
A.
legalStatusInChina
Indicates the legal status or standing that an entity holds under the laws and regulations of China.
-
B.
hasNationalStatus
chosen
Indicates that an entity possesses an official national-level designation, recognition, or status within a country.
-
C.
hasJurisdictionStatus
Indicates that an authority or entity holds a particular legal or administrative jurisdictional status over a specified domain, area, or matter.
-
D.
countrySpecificStatus
Indicates a status or condition that is defined or applied specifically in the context of a particular country.
-
E.
hasStatusInTradition
Indicates that an entity holds a particular recognized status or standing within a specified tradition or traditional framework.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8fb1c00819096bdb73334d8d72e |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:50 p.m.