Triple

T37744350

Position	Surface form	Disambiguated ID	Type / Status
Subject	Angat Dam	`E940804`	entity
Predicate	affectsWatershed	`P90970`	FINISHED
Object	Angat Watershed Angat Watershed is a protected drainage basin in Bulacan, Philippines, that supplies water to Angat Dam and plays a crucial role in Metro Manila’s water and power resources.	`E1210948`	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: Angat Watershed | Statement: [Angat Dam, affectsWatershed, Angat Watershed]

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: Angat Watershed
Triple: [Angat Dam, affectsWatershed, Angat Watershed]

Generated description

Angat Watershed is a protected drainage basin in Bulacan, Philippines, that supplies water to Angat Dam and plays a crucial role in Metro Manila’s water and power resources.

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

Target predicate: affectsWatershed
Context triple: [Angat Dam, affectsWatershed, Angat Watershed]

A. affectsWaterBody chosen
Indicates that one entity has an impact on the condition, quality, or state of a water body.
B. basinAffectedBy
Indicates that a basin is influenced or impacted by another entity, process, or event.
C. hasWatershed
Indicates that one geographic area or feature is part of, drains into, or is hydrologically defined by a particular watershed.
D. watershedType
Indicates the classification or category of a watershed associated with an entity (e.g., by hydrologic, ecological, or management type).
E. hasProtectedWatershed
Indicates that an entity possesses or is associated with a watershed area that is legally or formally protected for conservation or resource management purposes.
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_69f76ee0e32c8190b40a3b4cf590337c`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_69fccdd496048190bca801a8a9eecb62`	completed	May 7, 2026, 5:37 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40f1768cfc8190a3940ee9e0006d4d`	completed	June 28, 2026, 10:03 a.m.
NEDg	Description generation	`batch_6a40f1eb2d2c8190842595f7772bfc14`	completed	June 28, 2026, 10:05 a.m.
NED2	Entity disambiguation (via description)	`batch_6a40f3c74a04819081942b2678344b2c`	completed	June 28, 2026, 10:13 a.m.
PD	Predicate disambiguation	`batch_69fcccee6240819084680887731ff64b`	completed	May 7, 2026, 5:33 p.m.

Created at: May 3, 2026, 4:19 p.m.