Triple
T11659041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enderman |
E277076
|
entity |
| Predicate | cannotRideBoats |
P100771
|
FINISHED |
| Object | false (can be trapped in boats) |
—
|
LITERAL 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: false (can be trapped in boats) | Statement: [Enderman, cannotRideBoats, false (can be trapped in boats)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotRideBoats Context triple: [Enderman, cannotRideBoats, false (can be trapped in boats)]
-
A.
usesCrewedBoats
Indicates that an entity performs an activity or operation by employing boats that are crewed by people.
-
B.
boatingAllowed
Indicates that operating or using boats is permitted in the specified area or context.
-
C.
hasBoat
Indicates that one entity possesses, owns, or has control over a boat.
-
D.
usesCanoes
Indicates that one entity makes use of canoes as a means of transport, activity, or operation in relation to another entity or context.
-
E.
hasRaftingDifficulty
Indicates that an entity is associated with a specific level of rafting difficulty.
- F. None of above. chosen
Provenance (4 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d19c788190826d849a6ffedc72 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d88a73f9ac819095662042804bf40a |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:39 p.m.