Triple

T1815360
Position Surface form Disambiguated ID Type / Status
Subject Sierra de la Giganta E40423 entity
Predicate stretchesAlong P2409 FINISHED
Object eastern Baja California Sur E62499 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: eastern Baja California Sur | Statement: [Sierra de la Giganta, stretchesAlong, eastern Baja California Sur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: eastern Baja California Sur
Context triple: [Sierra de la Giganta, stretchesAlong, eastern Baja California Sur]
  • A. Baja California Sur chosen
    Baja California Sur is a sparsely populated Mexican state on the Baja California Peninsula, known for its desert landscapes, coastal resorts like Cabo San Lucas, and rich marine biodiversity in the Gulf of California and Pacific Ocean.
  • B. Mixteca Baja
    Mixteca Baja is a region in southern Mexico that formed a core area of the pre-Columbian Mixtec civilization.
  • C. Sierra Gorda, Mexico
    Sierra Gorda, Mexico is a rugged, biodiverse mountainous region in central Mexico known for its dramatic landscapes, rich indigenous and colonial history, and UNESCO-listed Franciscan missions.
  • D. Ensenada
    Ensenada is a coastal city in northwestern Baja California, Mexico, known for its busy port, tourism, and nearby wine-producing valleys.
  • E. Northwestern Mexico
    Northwestern Mexico is a geographic region of Mexico along the Pacific coast known for its desert landscapes, coastal plains, and states such as Sinaloa, Sonora, and Baja California.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stretchesAlong
Context triple: [Sierra de la Giganta, stretchesAlong, eastern Baja California Sur]
  • A. locatedAlong chosen
    Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
  • B. hasLongerReachThan
    Indicates that one entity can extend, influence, or physically reach farther than another entity.
  • C. mainStraightLengthKm
    Indicates the length, measured in kilometers, of the primary straight segment associated with the entity.
  • D. extendsAlongCoastOf
    Indicates that one entity stretches or runs parallel along the coastline of another entity.
  • E. isElongatedDueTo
    Indicates that one entity becomes longer in shape, form, or duration specifically as a result of the influence or effect of another entity or factor.
  • F. None of above.

Provenance (4 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aba67721788190951beae25e885457 completed March 7, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf5de46c8190817f67d692e98803 completed March 8, 2026, 6:26 p.m.
PD Predicate disambiguation batch_69aa61d884548190a19cf3a6b5ae9d48 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:32 p.m.