Triple
T17846073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harding Township, New Jersey |
E445661
|
entity |
| Predicate | hasEnvironmentCharacteristic |
P126032
|
FINISHED |
| Object | low level of commercial development |
—
|
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: low level of commercial development | Statement: [Harding Township, New Jersey, hasEnvironmentCharacteristic, low level of commercial development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnvironmentCharacteristic Context triple: [Harding Township, New Jersey, hasEnvironmentCharacteristic, low level of commercial development]
-
A.
hasCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
-
B.
hasEnvironmentType
Indicates that an entity is associated with or occurs within a specific type or category of environment.
-
C.
hasFeature
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
D.
hasEnvironmentalAttribute
chosen
Indicates that an entity possesses a specific environmental property, condition, or characteristic.
-
E.
characteristicDevice
Indicates that a device is a defining or typical instrument, tool, or equipment associated with a particular entity, context, or activity.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffa4c648190a88a4b0733493d91 |
completed | April 19, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:16 a.m.