Triple
T7563742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hohai University |
E178856
|
entity |
| Predicate | emblematicField |
P77634
|
FINISHED |
| Object | water conservancy and hydropower |
—
|
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: water conservancy and hydropower | Statement: [Hohai University, emblematicField, water conservancy and hydropower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emblematicField Context triple: [Hohai University, emblematicField, water conservancy and hydropower]
-
A.
emblematicFor
Indicates that something serves as a representative symbol or characteristic example of something else.
-
B.
emblematicPractice
Indicates a practice or behavior that symbolically represents, expresses, or typifies a group, identity, or concept.
-
C.
emblemName
Indicates that a specified name is the official or recognized title of an emblem.
-
D.
emblemFeatures
Indicates that an emblem includes or displays specific visual elements or characteristics.
-
E.
emblemText
Indicates that a piece of text serves as the inscription or wording displayed on an emblem.
- 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_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. |
| PDg | Predicate description generation | batch_69c6f59517648190ac0a9e9cba045dd5 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:50 p.m.