Triple
T4340611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FH77 howitzer series |
E97569
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
FH77A
FH77A is a Swedish 155 mm towed field howitzer variant known for its relatively advanced loading system and use in modern artillery forces.
|
E432126
|
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: FH77A | Statement: [FH77 howitzer series, hasVariant, FH77A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FH77A Context triple: [FH77 howitzer series, hasVariant, FH77A]
-
A.
FR-77
FR-77 is the ISO 3166-2 code designating the French department of Seine-et-Marne in the Île-de-France region.
-
B.
F-7
The F-7 was a heavy-duty model in Ford’s first postwar “Bonus-Built” truck lineup, positioned above the light-duty F-1 and mid-range F-2/F-3 models.
-
C.
FH
FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
-
D.
FN-2187
FN-2187 is the stormtrooper designation of Finn, the former First Order soldier who defects to join the Resistance in the Star Wars sequel trilogy.
-
E.
FR-82
FR-82 is the ISO 3166-2 code designating the French department of Tarn-et-Garonne in the Occitanie region of southern France.
- 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: FH77A Triple: [FH77 howitzer series, hasVariant, FH77A]
Generated description
FH77A is a Swedish 155 mm towed field howitzer variant known for its relatively advanced loading system and use in modern artillery forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FH77A Target entity description: FH77A is a Swedish 155 mm towed field howitzer variant known for its relatively advanced loading system and use in modern artillery forces.
-
A.
FR-77
FR-77 is the ISO 3166-2 code designating the French department of Seine-et-Marne in the Île-de-France region.
-
B.
F-7
The F-7 was a heavy-duty model in Ford’s first postwar “Bonus-Built” truck lineup, positioned above the light-duty F-1 and mid-range F-2/F-3 models.
-
C.
FH
FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
-
D.
FN-2187
FN-2187 is the stormtrooper designation of Finn, the former First Order soldier who defects to join the Resistance in the Star Wars sequel trilogy.
-
E.
FR-82
FR-82 is the ISO 3166-2 code designating the French department of Tarn-et-Garonne in the Occitanie region of southern France.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35170a6648190a15ffb21640ee478 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0b301188190af8514a675aebb5f |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d137271c8190a2d66fb47eb10d93 |
completed | March 14, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d4e5e24c8190980bc545ca0d339d |
completed | March 14, 2026, 9:36 p.m. |
Created at: March 12, 2026, 11:14 p.m.