Triple

T24414745

Position	Surface form	Disambiguated ID	Type / Status
Subject	Port Reading, New Jersey	`E615552`	entity
Predicate	hasHighSchoolService	`P76533`	FINISHED
Object	Woodbridge High School (New Jersey) Woodbridge High School (New Jersey) is a public secondary school in Woodbridge Township that serves students from Port Reading and surrounding communities.	`E1634204`	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: Woodbridge High School (New Jersey) | Statement: [Port Reading, New Jersey, hasHighSchoolService, Woodbridge High School (New Jersey)]

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: Woodbridge High School (New Jersey)
Triple: [Port Reading, New Jersey, hasHighSchoolService, Woodbridge High School (New Jersey)]

Generated description

Woodbridge High School (New Jersey) is a public secondary school in Woodbridge Township that serves students from Port Reading and surrounding communities.

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

Target predicate: hasHighSchoolService
Context triple: [Port Reading, New Jersey, hasHighSchoolService, Woodbridge High School (New Jersey)]

A. attendedHighSchoolIn
Indicates that an entity completed or was enrolled in high school education in a specified location.
B. servesHighSchool chosen
Indicates that an entity provides services, support, or resources specifically to a high school.
C. hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
D. hasSingleHighSchool
Indicates that an entity is associated with exactly one high school.
E. hasNotableHighSchool
Indicates that an entity is associated with a high school that is particularly notable or significant in some recognized way.
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_69e2d7e9bfac8190a748952a90957106`	completed	April 18, 2026, 1:01 a.m.
NER	Named-entity recognition	`batch_69f29583c2688190af3bc5d02eb9a3d9`	completed	April 29, 2026, 11:34 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fe3658d2c8190b22cf32de14bf531`	completed	May 22, 2026, 5:02 a.m.
NEDg	Description generation	`batch_6a0fe516b4c48190aa24a16a0b1e1d5e`	completed	May 22, 2026, 5:09 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0fe5d61ffc819090ded9351ea9066d`	completed	May 22, 2026, 5:12 a.m.
PD	Predicate disambiguation	`batch_69f287cc4fd4819081e93cc638d9512d`	completed	April 29, 2026, 10:35 p.m.

Created at: April 18, 2026, 2:12 a.m.