Triple

T28895684

Position	Surface form	Disambiguated ID	Type / Status
Subject	Chemical Plant Zone	`E732827`	entity
Predicate	precedesZone	`P114670`	FINISHED
Object	Aquatic Ruin Zone Aquatic Ruin Zone is a water-themed, ancient-ruin level from Sonic the Hedgehog 2 known for its mix of underwater sections, overgrown architecture, and platforming challenges.	`E1840520`	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: Aquatic Ruin Zone | Statement: [Chemical Plant Zone, precedesZone, Aquatic Ruin Zone]

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: Aquatic Ruin Zone
Triple: [Chemical Plant Zone, precedesZone, Aquatic Ruin Zone]

Generated description

Aquatic Ruin Zone is a water-themed, ancient-ruin level from Sonic the Hedgehog 2 known for its mix of underwater sections, overgrown architecture, and platforming challenges.

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

Target predicate: precedesZone
Context triple: [Chemical Plant Zone, precedesZone, Aquatic Ruin Zone]

A. precedesDisc
Indicates that one discourse segment or unit occurs before another in the sequence of discourse.
B. predecessorArea chosen
Indicates that one area previously existed or was defined before another area in a sequence or versioning of areas.
C. precedesInUniverse
Indicates that one event or entity occurs earlier than another within the timeline or causal order of a given fictional or conceptual universe.
D. precedesLetter
Indicates that one letter comes immediately before another letter in a specified ordering, such as the alphabet or a given sequence.
E. precedesInAscent
Indicates that one entity occurs or appears earlier than another in an ordered upward or ascending sequence.
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_69f05b08c2008190ac426a035a2ed66d`	completed	April 28, 2026, 7 a.m.
NER	Named-entity recognition	`batch_69f707f7959881908f037f0d6b1d0c36`	completed	May 3, 2026, 8:31 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a24d40a19a08190925c245a1de90382`	completed	June 7, 2026, 2:14 a.m.
NEDg	Description generation	`batch_6a24d9370ef48190845aa485c0356b6f`	completed	June 7, 2026, 2:36 a.m.
NED2	Entity disambiguation (via description)	`batch_6a24dd68154481909a11f3fa37288d2c`	completed	June 7, 2026, 2:54 a.m.
PD	Predicate disambiguation	`batch_69f700fc274c8190a128593dc7c7abd0`	completed	May 3, 2026, 8:02 a.m.

Created at: April 28, 2026, 7:58 a.m.