Triple
T25628475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mt. Cammerer |
E642505
|
entity |
| Predicate | fireLookoutTowerStatus |
P112932
|
FINISHED |
| Object | historic structure |
—
|
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: historic structure | Statement: [Mt. Cammerer, fireLookoutTowerStatus, historic structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fireLookoutTowerStatus Context triple: [Mt. Cammerer, fireLookoutTowerStatus, historic structure]
-
A.
fireLookoutStatus
chosen
Indicates the current operational or alert condition of a fire lookout (e.g., active, inactive, or on watch).
-
B.
towerStatus
Indicates the current operational or structural condition of a tower within a given system or context.
-
C.
observationTowerBuiltIn
Indicates that an observation tower was constructed within or during a specific location or time period.
-
D.
fireTowerType
Indicates the specific classification or category of a fire tower in relation to that tower.
-
E.
AngelFallsStatus
Indicates the current condition, classification, or operational state associated with Angel Falls.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa25423081908a40d12f99afebad |
completed | May 2, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 5:16 p.m.