Triple
T3242457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Technical University of Athens |
E67992
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
EMΠ
EMΠ is the Greek abbreviation for the National Technical University of Athens, one of Greece’s leading engineering and technical universities.
|
E339668
|
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: EMΠ | Statement: [National Technical University of Athens, shortName, EMΠ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EMΠ Context triple: [National Technical University of Athens, shortName, EMΠ]
-
A.
Em
Em is a common shortened form of the given name Emma, often used as an informal nickname.
-
B.
EMU
EMU (Electric Multiple Unit) is a self-propelled train consisting of multiple carriages powered by electricity, commonly used for passenger rail services.
-
C.
EMU
EMU is the European Union’s framework for coordinating economic policy and managing the single currency, the euro, among participating member states.
-
D.
EMI
EMI was a major British music company and record label group known for signing and distributing many of the world’s leading recording artists.
-
E.
EMCC
EMCC is a public community college in Bangor, Maine, offering two-year degree and certificate programs focused on career and technical education.
- 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: EMΠ Triple: [National Technical University of Athens, shortName, EMΠ]
Generated description
EMΠ is the Greek abbreviation for the National Technical University of Athens, one of Greece’s leading engineering and technical universities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EMΠ Target entity description: EMΠ is the Greek abbreviation for the National Technical University of Athens, one of Greece’s leading engineering and technical universities.
-
A.
Em
Em is a common shortened form of the given name Emma, often used as an informal nickname.
-
B.
EMU
EMU (Electric Multiple Unit) is a self-propelled train consisting of multiple carriages powered by electricity, commonly used for passenger rail services.
-
C.
EMU
EMU is the European Union’s framework for coordinating economic policy and managing the single currency, the euro, among participating member states.
-
D.
EMI
EMI was a major British music company and record label group known for signing and distributing many of the world’s leading recording artists.
-
E.
EMCC
EMCC is a public community college in Bangor, Maine, offering two-year degree and certificate programs focused on career and technical education.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf17463481909447f6ab46016407 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b27757dff0819081a26aea52ede49d |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b27846372c8190a5c96158bf2a5ff2 |
completed | March 12, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2791ac4a08190a1cee3cfbca6e6d6 |
completed | March 12, 2026, 8:28 a.m. |
Created at: March 8, 2026, 3:08 p.m.