Triple
T16574540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Belfast Academical Institution |
E402675
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Inst
Inst is the common nickname for the Royal Belfast Academical Institution, a historic and prestigious grammar school in Belfast, Northern Ireland.
|
E1221201
|
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: Inst | Statement: [Royal Belfast Academical Institution, alsoKnownAs, Inst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inst Context triple: [Royal Belfast Academical Institution, alsoKnownAs, Inst]
-
A.
INST
INST is the stock ticker symbol for Instructure, an education technology company best known for its Canvas learning management system.
-
B.
Ins
Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
-
C.
INS
INS was the former U.S. federal agency responsible for administering and enforcing immigration and naturalization laws before its functions were transferred to the Department of Homeland Security.
-
D.
Ing
Ing is a shortened form or nickname derived from the given name Ingrid.
-
E.
INSP
INSP is Mexico’s National Institute of Public Health, a leading governmental research and training institution focused on public health and epidemiology.
- 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: Inst Triple: [Royal Belfast Academical Institution, alsoKnownAs, Inst]
Generated description
Inst is the common nickname for the Royal Belfast Academical Institution, a historic and prestigious grammar school in Belfast, Northern Ireland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inst Target entity description: Inst is the common nickname for the Royal Belfast Academical Institution, a historic and prestigious grammar school in Belfast, Northern Ireland.
-
A.
INST
INST is the stock ticker symbol for Instructure, an education technology company best known for its Canvas learning management system.
-
B.
Ins
Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
-
C.
INS
INS was the former U.S. federal agency responsible for administering and enforcing immigration and naturalization laws before its functions were transferred to the Department of Homeland Security.
-
D.
Ing
Ing is a shortened form or nickname derived from the given name Ingrid.
-
E.
INSP
INSP is Mexico’s National Institute of Public Health, a leading governmental research and training institution focused on public health and epidemiology.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595bbbbc8190b023f4872908c031 |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eea409c8190808170a0b3f4bd17 |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006f7ca0dc8190a75d84d9ffbf83e0 |
completed | May 10, 2026, 11:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00705453c081909e8401024e92b5aa |
completed | May 10, 2026, 11:47 a.m. |
Created at: April 10, 2026, 5:16 a.m.