Triple

T29818539
Position Surface form Disambiguated ID Type / Status
Subject Tamul waterfall E757179 entity
Predicate hasBoatDeparturePoint P189343 FINISHED
Object La Morena
La Morena is a boat departure point used by visitors traveling to the scenic Tamul waterfall in Mexico.
 E1887098 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: La Morena | Statement: [Tamul waterfall, hasBoatDeparturePoint, La Morena]
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: La Morena
Triple: [Tamul waterfall, hasBoatDeparturePoint, La Morena]
Generated description
La Morena is a boat departure point used by visitors traveling to the scenic Tamul waterfall in Mexico.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasBoatDeparturePoint
Context triple: [Tamul waterfall, hasBoatDeparturePoint, La Morena]
  • A. hasCruiseDeparturePoint
    Indicates the location from which a cruise journey is scheduled to start or depart.
  • B. hasNearbyFerryPort
    Indicates that one location is situated close enough to another location that serves as a ferry port to be considered nearby.
  • C. hasBoatFacility
    Indicates that an entity provides or is equipped with facilities or services specifically for boats.
  • D. hasNearbyPier
    Indicates that one entity is located close to a pier associated with or adjacent to another entity.
  • E. hasNearbyHarbor
    Indicates that one location has a harbor situated close to it in geographic proximity.
  • F. None of above. chosen

Provenance (7 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_69f2245701c88190ad42415a0956c4ed completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fbbc49da8c8190902bbb05d2477cab completed May 6, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26e5f728048190b7fee27a73664035 completed June 8, 2026, 3:55 p.m.
NEDg Description generation batch_6a26e6a791bc8190a52d36decacde222 completed June 8, 2026, 3:58 p.m.
NED2 Entity disambiguation (via description) batch_6a26e7ff07bc8190b23d1a9793f5233b completed June 8, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69fbb13f34b08190bbbb220ac1e6e666 completed May 6, 2026, 9:23 p.m.
PDg Predicate description generation batch_69fbbc48b75c8190bec27dd4b7de797f completed May 6, 2026, 10:10 p.m.
Created at: April 29, 2026, 5:27 p.m.