Triple

T31472971
Position Surface form Disambiguated ID Type / Status
Subject 1973 London Bridge E802907 entity
Predicate replacedBridgeSoldTo P192575 FINISHED
Object Lake Havasu City, Arizona
Lake Havasu City, Arizona is a planned resort community on the Colorado River best known for reassembling and showcasing London Bridge as a major tourist attraction.
 E1963415 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: Lake Havasu City, Arizona | Statement: [1973 London Bridge, replacedBridgeSoldTo, Lake Havasu City, Arizona]
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: Lake Havasu City, Arizona
Triple: [1973 London Bridge, replacedBridgeSoldTo, Lake Havasu City, Arizona]
Generated description
Lake Havasu City, Arizona is a planned resort community on the Colorado River best known for reassembling and showcasing London Bridge as a major tourist attraction.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: replacedBridgeSoldTo
Context triple: [1973 London Bridge, replacedBridgeSoldTo, Lake Havasu City, Arizona]
  • A. bridgeReplaced
    Indicates that one bridge has been substituted or exchanged for another, typically as a result of construction, repair, or upgrade.
  • B. originalBridgeRenamed
    Indicates that a bridge has undergone a name change from its original designation to a new one.
  • C. bridgeRebuilt
    Indicates that a previously existing bridge has been reconstructed or restored after damage, destruction, or disuse.
  • D. originalBridgeDestroyed
    Indicates that the initially existing bridge in a given context has been destroyed.
  • E. bridgedFrom
    Indicates that something serves as a connection or transition originating from a specified source or starting point.
  • F. None of above. chosen

Provenance (7 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_69f348c84c1c81908739f100ecf7394e completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fd19f791f48190bbb6f6047f9ddc59 completed May 7, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2b079729f481908dba463b28f2a268 completed June 11, 2026, 7:08 p.m.
NEDg Description generation batch_6a2b09a77a008190a59d762b2674a635 completed June 11, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a2b0a25bb0c81909fb7c701aa429f5d completed June 11, 2026, 7:19 p.m.
PD Predicate disambiguation batch_69fd0df365948190bc9bfc7ffd46acd8 completed May 7, 2026, 10:10 p.m.
PDg Predicate description generation batch_69fd19f6a7888190aa7eee2b87687c53 completed May 7, 2026, 11:02 p.m.
Created at: April 30, 2026, 9:27 p.m.