Triple
T22201053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Lights |
E548682
|
entity |
| Predicate | westernTowerUse |
P131732
|
FINISHED |
| Object | private property |
—
|
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: private property | Statement: [Two Lights, westernTowerUse, private property]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: westernTowerUse Context triple: [Two Lights, westernTowerUse, private property]
-
A.
currentUseOfTowers
chosen
Indicates how towers are presently being utilized or functionally employed in a given context.
-
B.
hasCommunicationTowers
Indicates that one entity possesses, contains, or is equipped with communication towers used for transmitting or receiving signals.
-
C.
towerPurpose
Indicates the primary function or intended use that a tower is designed or employed to serve.
-
D.
towerStatus
Indicates the current operational or structural condition of a tower within a given system or context.
-
E.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aeb16348190a34f96b47e01c8cf |
completed | April 28, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:36 p.m.