Triple
T15580959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gholson Independent School District |
E374493
|
entity |
| Predicate | communityCharacteristic |
P39269
|
FINISHED |
| Object | rural community |
—
|
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: rural community | Statement: [Gholson Independent School District, communityCharacteristic, rural community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communityCharacteristic Context triple: [Gholson Independent School District, communityCharacteristic, rural community]
-
A.
neighborhoodCharacteristic
Indicates that a particular characteristic, feature, or quality is associated with or describes a given neighborhood.
-
B.
domainCharacteristic
Indicates that a domain or area of interest possesses a particular characteristic or defining property.
-
C.
communityType
chosen
Indicates the classification or category of community to which an entity belongs (e.g., urban, rural, online, professional).
-
D.
neighborhood
Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
-
E.
serviceAreaCharacteristic
Indicates a relationship where a service area is associated with a specific attribute or feature that characterizes 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e45ee3c8190a6aee06a5805ca39 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.