Triple
T12462740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Communication, Art and Technology |
E297836
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
FCAT
FCAT is a multidisciplinary academic faculty that integrates programs in communication, art, media, and digital technology.
|
E984651
|
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: FCAT | Statement: [Faculty of Communication, Art and Technology, hasAbbreviation, FCAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FCAT Context triple: [Faculty of Communication, Art and Technology, hasAbbreviation, FCAT]
-
A.
FCT
FCT is the commonly used abbreviation for FC Twente, a professional football club based in Enschede, Netherlands.
-
B.
FCT
FCT is the common abbreviation for FC Tulsa, a professional soccer club based in Tulsa, Oklahoma.
-
C.
STAAR test
The STAAR test is Texas’s standardized assessment program used to measure students’ academic performance and readiness in core subjects across public schools.
-
D.
MCAS
MCAS (Maneuvering Characteristics Augmentation System) is an automated flight-control feature on the Boeing 737 MAX designed to adjust the aircraft’s nose-down pitch under certain conditions to improve handling characteristics.
-
E.
F-1
F-1 is the half-ton light-duty pickup model in Ford’s first postwar “Bonus-Built” truck line, produced from 1948 to 1952.
- 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: FCAT Triple: [Faculty of Communication, Art and Technology, hasAbbreviation, FCAT]
Generated description
FCAT is a multidisciplinary academic faculty that integrates programs in communication, art, media, and digital technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FCAT Target entity description: FCAT is a multidisciplinary academic faculty that integrates programs in communication, art, media, and digital technology.
-
A.
FCT
FCT is the commonly used abbreviation for FC Twente, a professional football club based in Enschede, Netherlands.
-
B.
FCT
FCT is the common abbreviation for FC Tulsa, a professional soccer club based in Tulsa, Oklahoma.
-
C.
STAAR test
The STAAR test is Texas’s standardized assessment program used to measure students’ academic performance and readiness in core subjects across public schools.
-
D.
MCAS
MCAS (Maneuvering Characteristics Augmentation System) is an automated flight-control feature on the Boeing 737 MAX designed to adjust the aircraft’s nose-down pitch under certain conditions to improve handling characteristics.
-
E.
F-1
F-1 is the half-ton light-duty pickup model in Ford’s first postwar “Bonus-Built” truck line, produced from 1948 to 1952.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db5efe88190a76949e4ddc3314c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1f44f481909c7efdffd2aeac41 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f641a309cc8190b2403e62a6acfe58 |
completed | May 2, 2026, 6:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6427c162c8190ae2c027913d43b9e |
completed | May 2, 2026, 6:29 p.m. |
Created at: April 8, 2026, 9:56 p.m.