Triple
T13602647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merlin helicopters |
E324982
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | EH101 |
E381949
|
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: EH101 | Statement: [Merlin helicopters, alsoKnownAs, EH101]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EH101 Context triple: [Merlin helicopters, alsoKnownAs, EH101]
-
A.
EH10
EH10 is a postcode district in Edinburgh, Scotland, covering areas such as Morningside and surrounding neighborhoods.
-
B.
EH101-400
chosen
The EH101-400 is a variant of the AW101 medium-lift, multi-role helicopter, tailored for specific mission and customer requirements.
-
C.
EHN1
EHN1 is a large experimental hall in CERN’s North Area used for fixed-target and test-beam particle physics experiments served by the Super Proton Synchrotron.
-
D.
H10
H10 is the shorthand name for Hilbert’s tenth problem, a famous decision problem in number theory concerning the solvability of Diophantine equations.
-
E.
EH53
EH53 is a postcode district in the EH (Edinburgh) area of Scotland, covering Mid Calder and its surrounding locality in West Lothian.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ca07481909c45da551ea61ab4 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f92224c8190b66adef1291cd47f |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:49 p.m.