Triple

T9760292
Position Surface form Disambiguated ID Type / Status
Subject Monster Park E236650 entity
Predicate partOf P40 FINISHED
Object Candlestick Point area E236651 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: Candlestick Point area | Statement: [Monster Park, partOf, Candlestick Point area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Candlestick Point area
Context triple: [Monster Park, partOf, Candlestick Point area]
  • A. Candlestick Point chosen
    Candlestick Point is a windswept headland on the southeastern shoreline of San Francisco Bay that gave its name to the former Candlestick Park stadium.
  • B. Fibonacci retracement
    Fibonacci retracement is a technical analysis tool that uses key Fibonacci ratios to identify potential support and resistance levels where price corrections may pause or reverse.
  • C. Candlestick Park
    Candlestick Park was a famed but notoriously windy and cold outdoor stadium in San Francisco that long served as the home of the Giants and 49ers and hosted major events including World Series games and NFL championships.
  • D. Candlestick Chimney
    Candlestick Chimney is a distinctive historic chimney structure and local landmark in the coastal town of Whitehaven, England.
  • E. Tukey's fences
    Tukey's fences are a statistical rule-of-thumb method for identifying outliers in a data set using interquartile range–based cutoff points.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda049995c81908569ec61805642b2 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bce1c5908190a89815fa2b7d90c8 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:25 p.m.