Triple

T34665008

Position	Surface form	Disambiguated ID	Type / Status
Subject	CityCenter	`E890227`	entity
Predicate	formerContains	`P79922`	FINISHED
Object	Harmon Hotel Harmon Hotel was an unfinished and never-opened luxury hotel tower on the Las Vegas Strip that became notable for its structural defects and eventual demolition.	`E2106703`	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: Harmon Hotel | Statement: [CityCenter, formerContains, Harmon Hotel]

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: Harmon Hotel
Triple: [CityCenter, formerContains, Harmon Hotel]

Generated description

Harmon Hotel was an unfinished and never-opened luxury hotel tower on the Las Vegas Strip that became notable for its structural defects and eventual demolition.

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

Target predicate: formerContains
Context triple: [CityCenter, formerContains, Harmon Hotel]

A. alsoContains
Indicates that something includes, in addition to its primary contents, another specified element or component.
B. believedToContain
Indicates that something is thought or assumed to hold, include, or possess something else, without certainty.
C. currentContains
Indicates that one entity presently includes, encloses, or has another entity within its bounds or scope.
D. typicallyContain
Indicates that one entity is normally or commonly found within, included in, or held by another entity under usual circumstances.
E. previouslyContained chosen
Indicates that one entity was contained within another entity at some point in the past, but is not necessarily contained there now.
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_69f349d9c59481908b36baa0be093aea`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_6a0018cf6ebc8190aee6288788d0067e`	completed	May 10, 2026, 5:34 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a374903aa648190b9beaf59b4562d53`	completed	June 21, 2026, 2:14 a.m.
NEDg	Description generation	`batch_6a374a91d4f08190bc2df424a4136b3d`	completed	June 21, 2026, 2:21 a.m.
NED2	Entity disambiguation (via description)	`batch_6a374b44cba88190999dede2bc2a408e`	completed	June 21, 2026, 2:24 a.m.
PD	Predicate disambiguation	`batch_6a001855e8588190a65840485473cf8b`	completed	May 10, 2026, 5:32 a.m.

Created at: May 1, 2026, 2:04 a.m.