Triple
T7033493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FreeHand |
E163323
|
entity |
| Predicate | fileFormat |
P130
|
FINISHED |
| Object |
FH10
FH10 is a proprietary vector graphics file format associated with Macromedia FreeHand version 10, used for storing illustrations and page layouts.
|
E637128
|
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: FH10 | Statement: [FreeHand, fileFormat, FH10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FH10 Context triple: [FreeHand, fileFormat, FH10]
-
A.
FH77A
FH77A is a Swedish 155 mm towed field howitzer variant known for its relatively advanced loading system and use in modern artillery forces.
-
B.
FHU
FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
-
C.
FHU
FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
-
D.
FH
FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
-
E.
SH 10
SH 10 is a state highway in Colorado that runs east–west across the southern part of the state, connecting the cities of Walsenburg and La Junta.
- 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: FH10 Triple: [FreeHand, fileFormat, FH10]
Generated description
FH10 is a proprietary vector graphics file format associated with Macromedia FreeHand version 10, used for storing illustrations and page layouts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FH10 Target entity description: FH10 is a proprietary vector graphics file format associated with Macromedia FreeHand version 10, used for storing illustrations and page layouts.
-
A.
FH77A
FH77A is a Swedish 155 mm towed field howitzer variant known for its relatively advanced loading system and use in modern artillery forces.
-
B.
FHU
FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
-
C.
FHU
FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
-
D.
FH
FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
-
E.
SH 10
SH 10 is a state highway in Colorado that runs east–west across the southern part of the state, connecting the cities of Walsenburg and La Junta.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e2118fc88190a0751ca18eafb4a5 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7759c8e408190a7d457e77a44ee26 |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c779acac2881909917e12072f66637 |
completed | March 28, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c77a0390248190ba535e7d931a4682 |
completed | March 28, 2026, 6:49 a.m. |
Created at: March 27, 2026, 2:36 p.m.