Triple
T36077149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L-4 lookout cabin |
E1043526
|
entity |
| Predicate | occupancy |
P182070
|
FINISHED |
| Object | one or two people |
—
|
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: one or two people | Statement: [L-4 lookout cabin, occupancy, one or two people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupancy Context triple: [L-4 lookout cabin, occupancy, one or two people]
-
A.
occupies
Indicates that one entity takes up or resides within a physical or conceptual space belonging to or associated with another entity.
-
B.
hasOccupancy
chosen
Indicates that an entity is currently filled, used, or inhabited to a certain extent or by a certain number of occupants.
-
C.
occupiedFrom
Indicates that an entity is in use or inhabited starting from a specified point in time.
-
D.
occupiedBy
Indicates that a space, position, or role is currently being used, held, or filled by a particular entity.
-
E.
initialOccupancy
Indicates the starting level or state of occupancy for an entity before any subsequent changes occur.
- F. None of above.
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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.