Triple

T34565905

Position	Surface form	Disambiguated ID	Type / Status
Subject	Grover's Corners	`E887480`	entity
Predicate	hasCemeteryName	`P107125`	FINISHED
Object	Gibbs Memorial Cemetery Gibbs Memorial Cemetery is the fictional burial ground in Grover's Corners featured prominently in Thornton Wilder's play "Our Town."	`E2129212`	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: Gibbs Memorial Cemetery | Statement: [Grover's Corners, hasCemeteryName, Gibbs Memorial Cemetery]

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: Gibbs Memorial Cemetery
Triple: [Grover's Corners, hasCemeteryName, Gibbs Memorial Cemetery]

Generated description

Gibbs Memorial Cemetery is the fictional burial ground in Grover's Corners featured prominently in Thornton Wilder's play "Our Town."

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

Target predicate: hasCemeteryName
Context triple: [Grover's Corners, hasCemeteryName, Gibbs Memorial Cemetery]

A. cemeteryName chosen
Indicates the name assigned to a cemetery associated with an entity.
B. hasCemetery
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
C. isCemeteryFor
Indicates that one entity serves as the burial ground designated for another entity, such as a community, group, or location.
D. cemeteryNameDerivedFrom
Indicates that the name of a cemetery is derived from, or based on, another specified entity or source.
E. hasNearbyCemetery
Indicates that one entity is located close to, or in the immediate vicinity of, a cemetery associated with another entity.
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_69f349d0c4d881908dd0950f5eb9ec0a`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69fcab6e888881908ca9e18660928a40`	completed	May 7, 2026, 3:10 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37faf91b748190855e8d682ffddbc0`	completed	June 21, 2026, 2:53 p.m.
NEDg	Description generation	`batch_6a37fbbc2de88190b6c0cb4163bf290f`	completed	June 21, 2026, 2:57 p.m.
NED2	Entity disambiguation (via description)	`batch_6a37fcfc8c308190928623978df0d45a`	completed	June 21, 2026, 3:02 p.m.
PD	Predicate disambiguation	`batch_69fc4562a5b88190bad48f083a6dcdfa`	completed	May 7, 2026, 7:55 a.m.

Created at: May 1, 2026, 2:02 a.m.