Triple

T28216161

Position	Surface form	Disambiguated ID	Type / Status
Subject	Bogotá water supply system	`E711318`	entity
Predicate	hasTreatmentPlant	`P11442`	FINISHED
Object	Tibitoc water treatment plant The Tibitoc water treatment plant is a major facility in Colombia responsible for treating and supplying potable water to Bogotá and its surrounding metropolitan area.	`E1809546`	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: Tibitoc water treatment plant | Statement: [Bogotá water supply system, hasTreatmentPlant, Tibitoc water treatment plant]

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: Tibitoc water treatment plant
Triple: [Bogotá water supply system, hasTreatmentPlant, Tibitoc water treatment plant]

Generated description

The Tibitoc water treatment plant is a major facility in Colombia responsible for treating and supplying potable water to Bogotá and its surrounding metropolitan area.

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

Target predicate: hasTreatmentPlant
Context triple: [Bogotá water supply system, hasTreatmentPlant, Tibitoc water treatment plant]

A. treatmentPlantCapacity
Indicates the maximum volume or throughput of material (such as water or waste) that a treatment plant is designed to process over a given time period.
B. treatmentPlantLocation chosen
Indicates the geographic location where a treatment plant is situated or operates.
C. usesWaterTreatment
Indicates that an entity applies or relies on a water treatment process or system in its operations or activities.
D. treatsWastewaterFor
Indicates that one entity processes and purifies wastewater on behalf of another entity or location.
E. hasWaterManagementStructure
Indicates that one entity possesses, contains, or is associated with a built feature used to control, store, convey, or manage water.
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_69efb51cb5288190818c1f63a266af11`	completed	April 27, 2026, 7:12 p.m.
NER	Named-entity recognition	`batch_69fd4f39b5008190b83b3227ce22c509`	completed	May 8, 2026, 2:49 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a15e6c2690c8190874a1a3e9a68eb9f`	completed	May 26, 2026, 6:30 p.m.
NEDg	Description generation	`batch_6a15e7d2fef48190afc3d5ee7901ebac`	completed	May 26, 2026, 6:34 p.m.
NED2	Entity disambiguation (via description)	`batch_6a15fcfcbb94819096d38b205a60ba4a`	completed	May 26, 2026, 8:05 p.m.
PD	Predicate disambiguation	`batch_69fd4df17c548190a4e2a6fea70f7e10`	completed	May 8, 2026, 2:44 a.m.

Created at: April 27, 2026, 10:43 p.m.