Triple
T26821038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piedmont, California |
E675245
|
entity |
| Predicate | localNewsOutlet |
P27949
|
FINISHED |
| Object | Piedmont Exedra |
E313868
|
NE 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: Piedmont Exedra | Statement: [Piedmont, California, localNewsOutlet, Piedmont Exedra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localNewsOutlet Context triple: [Piedmont, California, localNewsOutlet, Piedmont Exedra]
-
A.
localNewspaper
chosen
Indicates that one entity is a newspaper that primarily serves the local area or community of the other entity.
-
B.
hasLocalNewsSection
Indicates that an entity includes or provides a dedicated section specifically for local news coverage.
-
C.
hasLocalMediaCoverageFrom
Indicates that an entity has been reported on or featured by a specified local media outlet or source.
-
D.
localPeople
Indicates a relationship where people are associated with, reside in, or originate from a particular local area or community.
-
E.
districtContext
Indicates that something occurs within, is associated with, or is interpreted in the context of a particular district or administrative area.
- F. None of above.
Provenance (4 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12097ada648190bf45371b8cdc261b |
completed | May 23, 2026, 8:09 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 4:55 a.m.