Triple
T14665106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dornier Do X |
E344348
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object |
Do X3a
The Do X3a was a planned or modified version of the Dornier Do X, a massive German flying boat airliner from the interwar period.
|
E1112797
|
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: Do X3a | Statement: [Dornier Do X, variant, Do X3a]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Do X3a Context triple: [Dornier Do X, variant, Do X3a]
-
A.
X3
X3 is the former designation of the standards body now known as INCITS, which oversees information technology standards in the United States.
-
B.
X-32
X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
-
C.
X-333
X-333 is a major process building at the Portsmouth Gaseous Diffusion Plant used in the large-scale enrichment of uranium.
-
D.
Bx30
Bx30 is a New York City bus route in the Bronx that connects the Norwood neighborhood with other parts of the borough.
-
E.
X-326
X-326 is a major uranium enrichment process building at the Portsmouth Gaseous Diffusion Plant in Ohio, historically used for large-scale nuclear fuel production.
- 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: Do X3a Triple: [Dornier Do X, variant, Do X3a]
Generated description
The Do X3a was a planned or modified version of the Dornier Do X, a massive German flying boat airliner from the interwar period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Do X3a Target entity description: The Do X3a was a planned or modified version of the Dornier Do X, a massive German flying boat airliner from the interwar period.
-
A.
X3
X3 is the former designation of the standards body now known as INCITS, which oversees information technology standards in the United States.
-
B.
X-32
X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
-
C.
X-333
X-333 is a major process building at the Portsmouth Gaseous Diffusion Plant used in the large-scale enrichment of uranium.
-
D.
Bx30
Bx30 is a New York City bus route in the Bronx that connects the Norwood neighborhood with other parts of the borough.
-
E.
X-326
X-326 is a major uranium enrichment process building at the Portsmouth Gaseous Diffusion Plant in Ohio, historically used for large-scale nuclear fuel production.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54c69f8819080a37161deecfba8 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e63e6c8190ba67776719f2ff0c |
completed | May 8, 2026, 12:24 p.m. |
| NEDg | Description generation | batch_69fdda3510bc8190b12783ded11b5796 |
completed | May 8, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fddaa56f4c8190ba56af6a7a56a201 |
completed | May 8, 2026, 12:44 p.m. |
Created at: April 10, 2026, 1:27 a.m.