Triple
T7779292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transatlantic Economic Council |
E221473
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
TEC
TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
|
E693168
|
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: TEC | Statement: [Transatlantic Economic Council, hasAbbreviation, TEC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TEC Context triple: [Transatlantic Economic Council, hasAbbreviation, TEC]
-
A.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
B.
TEC
TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
-
C.
T-MEC
T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
-
D.
TEQ
TEQ is the IATA airport code for Tekirdağ Çorlu Airport in Çorlu, Turkey.
-
E.
TC
TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
- 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: TEC Triple: [Transatlantic Economic Council, hasAbbreviation, TEC]
Generated description
TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TEC Target entity description: TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
-
A.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
B.
TEC
TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
-
C.
T-MEC
T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
-
D.
TEQ
TEQ is the IATA airport code for Tekirdağ Çorlu Airport in Çorlu, Turkey.
-
E.
TC
TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d59bf881909a8b2d57748784b1 |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5af0a6c819091f43ac7eda2065e |
completed | March 30, 2026, 10:14 p.m. |
| NEDg | Description generation | batch_69caf81d934881908fa41ebd43f3b2e2 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69caf9f86d808190880f7bb2fc8d4fe3 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:19 p.m.