Triple
T133131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USMCA |
E2693
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
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.
|
E15256
|
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: T-MEC | Statement: [USMCA, alsoKnownAs, T-MEC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T-MEC Context triple: [USMCA, alsoKnownAs, T-MEC]
-
A.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
B.
TNT
TNT is an American cable television network known for airing sports, movies, and original drama programming.
-
C.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
D.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
-
E.
JST
JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
- 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: T-MEC Triple: [USMCA, alsoKnownAs, T-MEC]
Generated description
T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T-MEC Target entity description: T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
-
A.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
B.
TNT
TNT is an American cable television network known for airing sports, movies, and original drama programming.
-
C.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
D.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
-
E.
JST
JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257871b8c8190868838837c0058d6 |
completed | Feb. 28, 2026, 2:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2aa46feb88190811b3db0f47325d7 |
completed | Feb. 28, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69a2ac372024819080e123e726aecee0 |
completed | Feb. 28, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2acb4879081908b303636922f10a0 |
completed | Feb. 28, 2026, 8:52 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.