Triple

T27211280
Position Surface form Disambiguated ID Type / Status
Subject Park La Brea residential complex E684001 entity
Predicate isPartOf P10 FINISHED
Object Mid-City region of Los Angeles
The Mid-City region of Los Angeles is a centrally located, densely populated urban area known for its diverse communities, major thoroughfares, and mix of historic neighborhoods and large residential complexes.
E1761354 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: Mid-City region of Los Angeles | Statement: [Park La Brea residential complex, isPartOf, Mid-City region of Los Angeles]
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: Mid-City region of Los Angeles
Triple: [Park La Brea residential complex, isPartOf, Mid-City region of Los Angeles]
Generated description
The Mid-City region of Los Angeles is a centrally located, densely populated urban area known for its diverse communities, major thoroughfares, and mix of historic neighborhoods and large residential complexes.

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_69eefad339a08190aeacb2a198f1a39b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f62619146c8190a2c37c7c6b105edc completed May 2, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1253a3b2b88190856eb94df30c7025 completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a125455f8fc81909ae39b6651a0fdb0 completed May 24, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a12552837d88190a12496ca49423f0f completed May 24, 2026, 1:32 a.m.
Created at: April 27, 2026, 9:39 a.m.