Triple

T1350808
Position Surface form Disambiguated ID Type / Status
Subject Mayan languages E28875 entity
Predicate includesLanguage P2177 FINISHED
Object Poqomam
Poqomam is a Mayan language spoken primarily in Guatemala by the Poqomam Maya people, known for its rich oral traditions and complex grammatical structure.
 E155115 NE FINISHED

How this triple was built (4 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: Poqomam | Statement: [Mayan languages, includesLanguage, Poqomam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Poqomam
Context triple: [Mayan languages, includesLanguage, Poqomam]
  • A. Pochutec
    Pochutec is an extinct Uto-Aztecan language once spoken in the Pochutla region of Oaxaca, Mexico.
  • B. Toqabaqita
    Toqabaqita is an Oceanic language spoken in the Solomon Islands, particularly on Malaita Island.
  • C. Ogakumonjo
    Ogakumonjo is a historic structure within Kyoto Imperial Palace, traditionally associated with imperial academic or archival functions in Japan’s former capital.
  • D. Palilula
    Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
  • E. Paama
    Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Poqomam
Triple: [Mayan languages, includesLanguage, Poqomam]
Generated description
Poqomam is a Mayan language spoken primarily in Guatemala by the Poqomam Maya people, known for its rich oral traditions and complex grammatical structure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Poqomam
Target entity description: Poqomam is a Mayan language spoken primarily in Guatemala by the Poqomam Maya people, known for its rich oral traditions and complex grammatical structure.
  • A. Pochutec
    Pochutec is an extinct Uto-Aztecan language once spoken in the Pochutla region of Oaxaca, Mexico.
  • B. Toqabaqita
    Toqabaqita is an Oceanic language spoken in the Solomon Islands, particularly on Malaita Island.
  • C. Ogakumonjo
    Ogakumonjo is a historic structure within Kyoto Imperial Palace, traditionally associated with imperial academic or archival functions in Japan’s former capital.
  • D. Palilula
    Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
  • E. Paama
    Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
  • F. None of above. chosen

Provenance (5 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26981d081909ca3b8d8cdf7cf2e completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce6a1dd48190b17ac5a7cf3ab933 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69acceac84748190bbf9dd9c9ba5561f completed March 8, 2026, 1:19 a.m.
NED2 Entity disambiguation (via description) batch_69accf1778b081908936977cd9317774 completed March 8, 2026, 1:21 a.m.
Created at: March 1, 2026, 7:56 p.m.