Triple
T4991454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instituto Superior Técnico |
E112139
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
IST
IST is a leading Portuguese engineering and technology university known for its strong research output and rigorous academic programs.
|
E485424
|
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: IST | Statement: [Instituto Superior Técnico, shortName, IST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IST Context triple: [Instituto Superior Técnico, shortName, IST]
-
A.
IST
IST is the three-letter IATA airport code for Istanbul Airport, the main international gateway serving Istanbul, Turkey.
-
B.
IST
IST is the time zone used throughout Israel, corresponding to UTC+2 in standard time and UTC+3 during daylight saving time.
-
C.
IST
IST is the time zone used across India, corresponding to UTC+5:30 and commonly referred to as Indian Standard Time.
-
D.
IST
IST is the Graduate School of Information Science and Technology at the University of Tokyo, a leading institution for advanced research and education in information science, computer science, and related fields.
-
E.
ISM
ISM is the commonly used acronym for the MERCOSUR Social Institute, a regional body focused on promoting social policies and integration among MERCOSUR member countries.
- 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: IST Triple: [Instituto Superior Técnico, shortName, IST]
Generated description
IST is a leading Portuguese engineering and technology university known for its strong research output and rigorous academic programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IST Target entity description: IST is a leading Portuguese engineering and technology university known for its strong research output and rigorous academic programs.
-
A.
IST
IST is the time zone used across India, corresponding to UTC+5:30 and commonly referred to as Indian Standard Time.
-
B.
IST
IST is the three-letter IATA airport code for Istanbul Airport, the main international gateway serving Istanbul, Turkey.
-
C.
IST
IST is the Graduate School of Information Science and Technology at the University of Tokyo, a leading institution for advanced research and education in information science, computer science, and related fields.
-
D.
IST
IST is the time zone used throughout Israel, corresponding to UTC+2 in standard time and UTC+3 during daylight saving time.
-
E.
ISM
ISM is the commonly used acronym for the MERCOSUR Social Institute, a regional body focused on promoting social policies and integration among MERCOSUR member countries.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd728141d48190a0713e6d33c50fb6 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a282dd08190a29b92e8e825a3bb |
completed | March 21, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69be8d747c40819098ac5d475d60ab46 |
completed | March 21, 2026, 12:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8df7ab9c8190b1af6e32f0f33b30 |
completed | March 21, 2026, 12:24 p.m. |
Created at: March 20, 2026, 1:34 p.m.