Triple

T37300936

Position	Surface form	Disambiguated ID	Type / Status
Subject	Houston–Dallas	`E925937`	entity
Predicate	hasPlannedOperatorCandidate	`P141921`	FINISHED
Object	Texas Central Partners Texas Central Partners is a private company formed to develop and operate a proposed high-speed rail line in Texas.	`E2222837`	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: Texas Central Partners | Statement: [Houston–Dallas, hasPlannedOperatorCandidate, Texas Central Partners]

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: Texas Central Partners
Triple: [Houston–Dallas, hasPlannedOperatorCandidate, Texas Central Partners]

Generated description

Texas Central Partners is a private company formed to develop and operate a proposed high-speed rail line in Texas.

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

Target predicate: hasPlannedOperatorCandidate
Context triple: [Houston–Dallas, hasPlannedOperatorCandidate, Texas Central Partners]

A. hasPlannedOperator chosen
Indicates that an entity has a designated operator who is planned or scheduled to perform an operation or service for it.
B. hasPlannedOperatorType
Indicates that an entity is associated with a specific type of operator that is intended or scheduled to perform an operation or service.
C. hasPlannedPart
Indicates that one entity includes another entity as a component or segment within a planned or scheduled whole.
D. hasPlanner
Indicates that an entity is associated with or assigned a planner responsible for organizing or managing its activities or processes.
E. hasPlannedOwner
Indicates that an entity is intended or scheduled to become the owner of another entity in the future.
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_69f76eb1bc508190924e9fa5d8acdeb3`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_69fe5ec9028081909ae3d6fbe2f4cbbc`	completed	May 8, 2026, 10:08 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40638ce86c81909d4b1080d27f24a4`	completed	June 27, 2026, 11:58 p.m.
NEDg	Description generation	`batch_6a40657ec1808190811a61631b126148`	completed	June 28, 2026, 12:06 a.m.
NED2	Entity disambiguation (via description)	`batch_6a4066193dbc819099186decd93ba3be`	completed	June 28, 2026, 12:08 a.m.
PD	Predicate disambiguation	`batch_69fe5e1d715881909fc516fafc707644`	completed	May 8, 2026, 10:05 p.m.

Created at: May 3, 2026, 4:16 p.m.