Triple
T37940581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hempfield Township |
E946475
|
entity |
| Predicate | primaryDemographicRole |
P4855
|
FINISHED |
| Object | population center |
—
|
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: population center | Statement: [Hempfield Township, primaryDemographicRole, population center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDemographicRole Context triple: [Hempfield Township, primaryDemographicRole, population center]
-
A.
primaryRoleFor
Indicates that one entity serves as the main or most important role or function for another entity.
-
B.
primaryPersona
Indicates that one entity is the main or most representative persona associated with another entity, distinguishing it from any secondary or supporting personas.
-
C.
primaryUsersRole
Indicates the role that a primary user holds in relation to a given resource, system, or context.
-
D.
populationRole
chosen
Indicates the role or function that an entity has within a population or demographic context.
-
E.
primaryAdministrativeRole
Indicates that an entity holds the main or most significant administrative position or function in relation to another entity.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.