Triple
T22069150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henan University of Technology |
E545358
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
HAUT
HAUT is the commonly used abbreviation for Henan University of Technology, a higher education institution located in Henan Province, China.
|
E1517176
|
NE FINISHED |
How this triple was built (4 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: HAUT | Statement: [Henan University of Technology, shortName, HAUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HAUT Context triple: [Henan University of Technology, shortName, HAUT]
-
A.
HAU
HAU is the IATA airport code for Haugesund Airport, Karmøy, which serves the Haugesund region in Norway.
-
B.
Ha
"Ha" is a track by rapper Juvenile, notable for its distinctive second-person narrative style and repetitive use of the word "ha," from his influential 1998 album *400 Degreez*.
-
C.
Ha
Ha is a character from William Golding’s novel "The Inheritors," representing one of the early hominids whose perspective contrasts with the encroaching modern humans.
-
D.
Hau
Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
-
E.
HAJ
HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HAUT Triple: [Henan University of Technology, shortName, HAUT]
Generated description
HAUT is the commonly used abbreviation for Henan University of Technology, a higher education institution located in Henan Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HAUT Target entity description: HAUT is the commonly used abbreviation for Henan University of Technology, a higher education institution located in Henan Province, China.
-
A.
HAU
HAU is the IATA airport code for Haugesund Airport, Karmøy, which serves the Haugesund region in Norway.
-
B.
Ha
"Ha" is a track by rapper Juvenile, notable for its distinctive second-person narrative style and repetitive use of the word "ha," from his influential 1998 album *400 Degreez*.
-
C.
Ha
Ha is a character from William Golding’s novel "The Inheritors," representing one of the early hominids whose perspective contrasts with the encroaching modern humans.
-
D.
Hau
Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
-
E.
HAJ
HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
- F. None of above. chosen
Provenance (5 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1288724e881908b38fe7e56d3b448 |
completed | April 28, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80b1a6dc8190a47e0988981f09ef |
completed | May 18, 2026, 3 a.m. |
| NEDg | Description generation | batch_6a0a819c890481908303786efeef595c |
completed | May 18, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a826075988190a7148ded16f779c0 |
completed | May 18, 2026, 3:07 a.m. |
Created at: April 16, 2026, 8:28 p.m.