Triple
T1350813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayan languages |
E28875
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object |
Tojolabal
Tojolabal is an indigenous Mayan language spoken primarily in the Chiapas region of southern Mexico.
|
E155116
|
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: Tojolabal | Statement: [Mayan languages, includesLanguage, Tojolabal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tojolabal Context triple: [Mayan languages, includesLanguage, Tojolabal]
-
A.
Watugaluh
Watugaluh was an important historical city in Java that served as the political and administrative center of the Medang Kingdom.
-
B.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
-
C.
Pénjamo
Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
-
D.
Butuan
Butuan is a historically significant city in the Caraga region of northeastern Mindanao in the Philippines, known for its rich pre-colonial heritage and archaeological sites.
-
E.
Kitchawan
Kitchawan is a small hamlet within the town of Yorktown in Westchester County, New York, known for its residential character and proximity to natural areas.
- 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: Tojolabal Triple: [Mayan languages, includesLanguage, Tojolabal]
Generated description
Tojolabal is an indigenous Mayan language spoken primarily in the Chiapas region of southern Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tojolabal Target entity description: Tojolabal is an indigenous Mayan language spoken primarily in the Chiapas region of southern Mexico.
-
A.
Watugaluh
Watugaluh was an important historical city in Java that served as the political and administrative center of the Medang Kingdom.
-
B.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
-
C.
Pénjamo
Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
-
D.
Butuan
Butuan is a historically significant city in the Caraga region of northeastern Mindanao in the Philippines, known for its rich pre-colonial heritage and archaeological sites.
-
E.
Kitchawan
Kitchawan is a small hamlet within the town of Yorktown in Westchester County, New York, known for its residential character and proximity to natural areas.
- 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.