Triple

T26796498
Position Surface form Disambiguated ID Type / Status
Subject Fall River Mills, California E670965 entity
Predicate hasNearbyAirport P4363 FINISHED
Object Fall River Mills Airport
Fall River Mills Airport is a small public-use general aviation airport serving the community of Fall River Mills in Shasta County, California.
E1739823 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: Fall River Mills Airport | Statement: [Fall River Mills, California, hasNearbyAirport, Fall River Mills Airport]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fall River Mills Airport
Triple: [Fall River Mills, California, hasNearbyAirport, Fall River Mills Airport]
Generated description
Fall River Mills Airport is a small public-use general aviation airport serving the community of Fall River Mills in Shasta County, California.

Provenance (5 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_69eeb31fbd888190a82dac5822e453bc completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f619c03bb08190a7460a0b0c18ca46 completed May 2, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12096966e88190b63402acbd094508 completed May 23, 2026, 8:09 p.m.
NEDg Description generation batch_6a1209f2329c819090e9cc1a4a66cce7 completed May 23, 2026, 8:11 p.m.
NED2 Entity disambiguation (via description) batch_6a120a7acb6081909b538b1a351a92bd completed May 23, 2026, 8:13 p.m.
Created at: April 27, 2026, 4:20 a.m.