Triple
T9323396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airspeed Horsa |
E224323
|
entity |
| Predicate | towedBy |
P32277
|
FINISHED |
| Object | Albemarle |
E566479
|
NE FINISHED |
How this triple was built (2 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: Albemarle | Statement: [Airspeed Horsa, towedBy, Albemarle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albemarle Context triple: [Airspeed Horsa, towedBy, Albemarle]
-
A.
Albemarle
chosen
The Albemarle was a British World War II twin‑engine transport and glider tug aircraft used primarily for airborne operations and special duties.
-
B.
Albemarle
Albemarle is a historic title and place name associated with English nobility, most notably used in the peerage title "Earl of Albemarle."
-
C.
Albemarle, North Carolina
Albemarle, North Carolina is a small city in Stanly County that serves as a commercial and cultural hub in the central Piedmont region of the state.
-
D.
Tidewater Virginia
Tidewater Virginia is a coastal region of southeastern Virginia characterized by its low-lying terrain, tidal rivers, and early colonial settlements.
-
E.
Two Harbors
Two Harbors is a small, rustic resort village and boating hub located at the narrow isthmus on the west end of Santa Catalina Island off the coast of Southern California.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f466b08190884abdc56501a0d8 |
completed | April 1, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7e13d108190bc3409cf5608d9ad |
completed | April 4, 2026, 8:12 a.m. |
Created at: March 30, 2026, 7:38 p.m.