Triple
T4071901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Technical University of Crete |
E86666
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
TUC
TUC is the commonly used abbreviation for the Technical University of Crete, a Greek public university specializing in engineering and applied sciences.
|
E410312
|
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: TUC | Statement: [Technical University of Crete, shortName, TUC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TUC Context triple: [Technical University of Crete, shortName, TUC]
-
A.
TUW
TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
-
B.
RUC
RUC is the abbreviation for the Royal Ulster Constabulary, the former police force in Northern Ireland that operated during the Troubles.
-
C.
TMUK
TMUK is Toyota's United Kingdom-based automobile manufacturing subsidiary, operating major production plants such as those in Burnaston and Deeside.
-
D.
TU
TU is the international vehicle registration code assigned to Tunisia.
-
E.
TU
TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
- 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: TUC Triple: [Technical University of Crete, shortName, TUC]
Generated description
TUC is the commonly used abbreviation for the Technical University of Crete, a Greek public university specializing in engineering and applied sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TUC Target entity description: TUC is the commonly used abbreviation for the Technical University of Crete, a Greek public university specializing in engineering and applied sciences.
-
A.
TUW
TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
-
B.
RUC
RUC is the abbreviation for the Royal Ulster Constabulary, the former police force in Northern Ireland that operated during the Troubles.
-
C.
TMUK
TMUK is Toyota's United Kingdom-based automobile manufacturing subsidiary, operating major production plants such as those in Burnaston and Deeside.
-
D.
TU
TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
-
E.
TU
TU is the international vehicle registration code assigned to Tunisia.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc20ed788190bd935082a348a05d |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562b99e84819085e1616fb9a61465 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b563ced83c81908d7eff6a54b3b66c |
completed | March 14, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b564893f44819086ffe89101217f53 |
completed | March 14, 2026, 1:37 p.m. |
Created at: March 9, 2026, 3:38 p.m.