Triple
T10878437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saigon Hi-Tech Park |
E256857
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
SHTP
SHTP is a major technology and innovation hub in Ho Chi Minh City, Vietnam, designed to attract high-tech industries, research, and development.
|
E890343
|
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: SHTP | Statement: [Saigon Hi-Tech Park, hasAbbreviation, SHTP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHTP Context triple: [Saigon Hi-Tech Park, hasAbbreviation, SHTP]
-
A.
SHP
SHP is the National Rail station code for Shepperton railway station in Surrey, England.
-
B.
SGH
SGH is the IATA airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
-
C.
SH-1
SH-1 is the first-generation implementation of the SuperH 32-bit RISC microprocessor architecture developed for embedded systems.
-
D.
SH4
SH4 is a 32-bit RISC microprocessor architecture from Hitachi’s SuperH family, widely used in embedded systems and notably in the Sega Dreamcast console.
-
E.
SHF
SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
- 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: SHTP Triple: [Saigon Hi-Tech Park, hasAbbreviation, SHTP]
Generated description
SHTP is a major technology and innovation hub in Ho Chi Minh City, Vietnam, designed to attract high-tech industries, research, and development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SHTP Target entity description: SHTP is a major technology and innovation hub in Ho Chi Minh City, Vietnam, designed to attract high-tech industries, research, and development.
-
A.
SHP
SHP is the National Rail station code for Shepperton railway station in Surrey, England.
-
B.
SGH
SGH is the IATA airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
-
C.
SH-1
SH-1 is the first-generation implementation of the SuperH 32-bit RISC microprocessor architecture developed for embedded systems.
-
D.
SH4
SH4 is a 32-bit RISC microprocessor architecture from Hitachi’s SuperH family, widely used in embedded systems and notably in the Sega Dreamcast console.
-
E.
SHF
SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751ae92548190a3563c5b18650a32 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7e2322c8190a55605237ae6ce95 |
completed | April 15, 2026, 8:41 p.m. |
| NEDg | Description generation | batch_69e002709d38819099c4402d30824612 |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e005873ba48190b8c24c77611562fa |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:21 p.m.