Triple

T30993603
Position Surface form Disambiguated ID Type / Status
Subject Bird Cage Theatre E789732 entity
Predicate associatedWith P37 FINISHED
Object Tombstone silver mining boom
The Tombstone silver mining boom was a rapid late-19th-century mineral rush in Tombstone, Arizona, that transformed the frontier town into a bustling, often lawless mining center.
 E1940101 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: Tombstone silver mining boom | Statement: [Bird Cage Theatre, associatedWith, Tombstone silver mining boom]
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: Tombstone silver mining boom
Triple: [Bird Cage Theatre, associatedWith, Tombstone silver mining boom]
Generated description
The Tombstone silver mining boom was a rapid late-19th-century mineral rush in Tombstone, Arizona, that transformed the frontier town into a bustling, often lawless mining center.

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_69f224c65a348190baaed1c01a29900c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6940491488190bbdbd70240c2a1b3 completed May 3, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28fbcbc37c8190bbe0bd369304bda8 completed June 10, 2026, 5:53 a.m.
NEDg Description generation batch_6a28fe208cc48190a21a2074dba140bf completed June 10, 2026, 6:03 a.m.
NED2 Entity disambiguation (via description) batch_6a28fe9c8fa88190af90e6f865d1fa54 completed June 10, 2026, 6:05 a.m.
Created at: April 29, 2026, 8:56 p.m.