Triple

T37869009

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Falcon in San Francisco	`E944553`	entity
Predicate	hasPrimaryBackdrop	`P121009`	FINISHED
Object	San Francisco San Francisco is a major coastal city in Northern California known for its iconic Golden Gate Bridge, steep hills, diverse culture, and historic cable cars.	`E242`	NE FINISHED

How this triple was built (3 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: San Francisco | Statement: [The Falcon in San Francisco, hasPrimaryBackdrop, San Francisco]

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: San Francisco
Triple: [The Falcon in San Francisco, hasPrimaryBackdrop, San Francisco]

Generated description

San Francisco is a major coastal city in Northern California known for its iconic Golden Gate Bridge, steep hills, diverse culture, and historic cable cars.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasPrimaryBackdrop
Context triple: [The Falcon in San Francisco, hasPrimaryBackdrop, San Francisco]

A. primaryBackdropFor chosen
Indicates that one entity serves as the main visual or contextual background element for another entity.
B. hasBackdrops
Indicates that one entity is associated with one or more background images or scenes used as visual backdrops for it.
C. hasBackground
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
D. hasPrimaryFeature
Indicates that an entity possesses a main or most characteristic feature that defines or distinguishes it.
E. hasPosterArtBy
Indicates that the poster artwork for an item (such as a film, event, or product) was created by a specified artist or designer.
F. None of above.

Provenance (6 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_69f76eef55d481908ca6660b4b532550`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_6a037c903be48190a2fafa53d7d50d42`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a4117e57ad8819097b5ed7d2f497a46`	completed	June 28, 2026, 12:47 p.m.
NEDg	Description generation	`batch_6a411bb78aa481909dd94ae7216fff6e`	completed	June 28, 2026, 1:03 p.m.
NED2	Entity disambiguation (via description)	`batch_6a411c08ba3c819092e0a05484f571c1`	completed	June 28, 2026, 1:05 p.m.
PD	Predicate disambiguation	`batch_6a037a192a008190a9917688a9e804f4`	completed	May 12, 2026, 7:06 p.m.

Created at: May 3, 2026, 4:19 p.m.