Triple

T35786990

Position	Surface form	Disambiguated ID	Type / Status
Subject	Suzhou city wall (former outer city wall)	`E1034590`	entity
Predicate	hasAssociatedWaterFeature	`P64067`	FINISHED
Object	Suzhou moat Suzhou moat is the historic defensive waterway encircling the old city of Suzhou, renowned for its integration with the city’s canals and classical urban landscape.	`E2154194`	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: Suzhou moat | Statement: [Suzhou city wall (former outer city wall), hasAssociatedWaterFeature, Suzhou moat]

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: Suzhou moat
Triple: [Suzhou city wall (former outer city wall), hasAssociatedWaterFeature, Suzhou moat]

Generated description

Suzhou moat is the historic defensive waterway encircling the old city of Suzhou, renowned for its integration with the city’s canals and classical urban landscape.

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

Target predicate: hasAssociatedWaterFeature
Context triple: [Suzhou city wall (former outer city wall), hasAssociatedWaterFeature, Suzhou moat]

A. hasWaterFeatures chosen
Indicates that an entity includes or is associated with water-related elements such as fountains, ponds, streams, or similar features.
B. hasAssociatedWaterBody
Indicates that one entity is linked to, or occurs in connection with, a specific body of water such as a river, lake, or sea.
C. hasWaterBodyCharacteristic
Indicates that a water body possesses a specified physical, chemical, or ecological characteristic.
D. hasWaterCharacteristics
Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
E. hasWaterResourceRole
Indicates that an entity participates in a water-related resource context with a specified functional role (e.g., source, user, manager, or regulator of water resources).
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_69f76e1575908190aaa306d843b41c14`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69fd3d46d1f48190a1b20dd063224b7d`	completed	May 8, 2026, 1:32 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38860cc71c81908250c1db636106f6`	completed	June 22, 2026, 12:47 a.m.
NEDg	Description generation	`batch_6a3886a802f88190a50eb9f09a4f35ed`	completed	June 22, 2026, 12:49 a.m.
NED2	Entity disambiguation (via description)	`batch_6a388740c49481909013908cb9357daa`	completed	June 22, 2026, 12:52 a.m.
PD	Predicate disambiguation	`batch_69fd3ae1510c81908fe1280efc17feee`	completed	May 8, 2026, 1:22 a.m.

Created at: May 3, 2026, 4:06 p.m.