Triple
T773001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falkirk F.C. |
E16322
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
FFC
FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
|
E91053
|
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: FFC | Statement: [Falkirk F.C., hasAbbreviation, FFC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FFC Context triple: [Falkirk F.C., hasAbbreviation, FFC]
-
A.
CFC
CFC is the commonly used abbreviation for the United States Court of Federal Claims, a federal court that hears monetary claims against the U.S. government.
-
B.
FFF
FFF is a global youth-led climate movement advocating for urgent action against climate change through school strikes and public demonstrations.
-
C.
FC
FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
-
D.
CAF
CAF is the commonly used acronym for the Canadian Armed Forces, the unified military organization responsible for defending Canada and supporting international peace and security operations.
-
E.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
- 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: FFC Triple: [Falkirk F.C., hasAbbreviation, FFC]
Generated description
FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FFC Target entity description: FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
-
A.
CFC
CFC is the commonly used abbreviation for the United States Court of Federal Claims, a federal court that hears monetary claims against the U.S. government.
-
B.
FFF
FFF is a global youth-led climate movement advocating for urgent action against climate change through school strikes and public demonstrations.
-
C.
FC
FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
-
D.
CAF
CAF is the commonly used acronym for the Canadian Armed Forces, the unified military organization responsible for defending Canada and supporting international peace and security operations.
-
E.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a72eda6c81908205ae5a1e05cc20 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6667aabe08190b56f129864082c84 |
completed | March 3, 2026, 4:41 a.m. |
| NEDg | Description generation | batch_69a66783f6cc819089570965e48b5749 |
completed | March 3, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a667e58f988190be20a9aa3c8359fd |
completed | March 3, 2026, 4:47 a.m. |
Created at: March 1, 2026, 7:37 p.m.