Triple
T12678600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Incoterms rules |
E302885
|
entity |
| Predicate | includesTerm |
P2920
|
FINISHED |
| Object |
FCA
FCA is an international trade term under Incoterms that defines the point at which the seller delivers goods, cleared for export, to a carrier or another party nominated by the buyer.
|
E996780
|
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: FCA | Statement: [Incoterms rules, includesTerm, FCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FCA Context triple: [Incoterms rules, includesTerm, FCA]
-
A.
FCA
The FCA is the United Kingdom’s main financial regulatory body responsible for overseeing financial markets, firms, and consumer protection.
-
B.
FCA
FCA is the commonly used abbreviation for the Federal Court of Appeal, a Canadian appellate court that hears cases from federal boards, tribunals, and the Federal Court.
-
C.
FCA
FCA is the commonly used abbreviation for FC Astana, a professional football club based in Astana, Kazakhstan.
-
D.
FAW
FAW is the commonly used abbreviation for the Football Association of Wales, the governing body for football in Wales.
-
E.
Crysler
Crysler is a small rural community in Eastern Ontario, Canada, known for its agricultural surroundings and close-knit local population.
- 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: FCA Triple: [Incoterms rules, includesTerm, FCA]
Generated description
FCA is an international trade term under Incoterms that defines the point at which the seller delivers goods, cleared for export, to a carrier or another party nominated by the buyer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FCA Target entity description: FCA is an international trade term under Incoterms that defines the point at which the seller delivers goods, cleared for export, to a carrier or another party nominated by the buyer.
-
A.
FCA
The FCA is the United Kingdom’s main financial regulatory body responsible for overseeing financial markets, firms, and consumer protection.
-
B.
FCA
FCA is the commonly used abbreviation for the Federal Court of Appeal, a Canadian appellate court that hears cases from federal boards, tribunals, and the Federal Court.
-
C.
FCA
FCA is the commonly used abbreviation for FC Astana, a professional football club based in Astana, Kazakhstan.
-
D.
FAW
FAW is the commonly used abbreviation for the Football Association of Wales, the governing body for football in Wales.
-
E.
Crysler
Crysler is a small rural community in Eastern Ontario, Canada, known for its agricultural surroundings and close-knit local population.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b1dff48190923290555ece5d89 |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a341288190822fae2469efea09 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f672ac07908190bd2dfe90d55a13c1 |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67360b530819085d5db2aa0b7513d |
completed | May 2, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:20 p.m.