Triple
T17316632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loch Fell |
E420442
|
entity |
| Predicate | category |
P87
|
FINISHED |
| Object | HuMP |
E711167
|
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: HuMP | Statement: [Loch Fell, category, HuMP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HuMP Context triple: [Loch Fell, category, HuMP]
-
A.
HuMP
chosen
HuMP is a British hill classification for summits with a topographic prominence of at least 100 metres, regardless of their absolute height.
-
B.
Humph
Humph is a shortened, informal given name typically derived from Humphrey.
-
C.
HMU
HMU is the commonly used abbreviation for the Hellenic Mediterranean University, a higher education institution in Greece.
-
D.
Hu
Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
-
E.
Humann
Humann is a German surname most notably associated with archaeologist Carl Humann, who led the excavation of the Pergamon Altar.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399d2fcc81909916302f141e236b |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e8cfd88190a105b778e5b9e864 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.