Triple
T14381248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Eindhoven |
E356606
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
FCE
FCE is the common abbreviation for FC Eindhoven, a professional football club based in Eindhoven, Netherlands.
|
E1096138
|
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: FCE | Statement: [FC Eindhoven, shortName, FCE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FCE Context triple: [FC Eindhoven, shortName, FCE]
-
A.
FCE
FCE is the common abbreviation for FC Edmonton, a professional soccer club based in Edmonton, Alberta, Canada.
-
B.
EFL
EFL is a professional football league system in England that organizes and oversees the three divisions below the Premier League.
-
C.
EFL
EFL (Enlightenment Foundation Libraries) is a collection of open-source graphics and user interface libraries designed for building fast, lightweight, and visually rich applications, particularly on resource-constrained devices.
-
D.
EFC
EFC is the commonly used abbreviation for the European Union’s Economic and Financial Committee, which advises on economic and financial policy matters.
-
E.
IELTS
IELTS is an internationally recognized English language proficiency test widely used for study, migration, and work purposes around the world.
- 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: FCE Triple: [FC Eindhoven, shortName, FCE]
Generated description
FCE is the common abbreviation for FC Eindhoven, a professional football club based in Eindhoven, Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FCE Target entity description: FCE is the common abbreviation for FC Eindhoven, a professional football club based in Eindhoven, Netherlands.
-
A.
FCE
FCE is the common abbreviation for FC Edmonton, a professional soccer club based in Edmonton, Alberta, Canada.
-
B.
EFL
EFL is a professional football league system in England that organizes and oversees the three divisions below the Premier League.
-
C.
EFL
EFL (Enlightenment Foundation Libraries) is a collection of open-source graphics and user interface libraries designed for building fast, lightweight, and visually rich applications, particularly on resource-constrained devices.
-
D.
EFC
EFC is the commonly used abbreviation for the European Union’s Economic and Financial Committee, which advises on economic and financial policy matters.
-
E.
IELTS
IELTS is an internationally recognized English language proficiency test widely used for study, migration, and work purposes around the world.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900bbfb08190a1e56f281a2374c0 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c590660819090652e75418f2747 |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e4bae188190a8d1c5b833d58cd8 |
completed | May 8, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f5782b4819081d32dbef032ac61 |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 10, 2026, 1:16 a.m.