Triple
T9948236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pame |
E195259
|
entity |
| Predicate | hasLinguisticRelation |
P10003
|
FINISHED |
| Object |
Otomí
Otomí is an indigenous people of central Mexico whose Oto-Manguean language and rich cultural traditions have persisted since pre-Hispanic times.
|
E831456
|
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: Otomí | Statement: [Pame, hasLinguisticRelation, Otomí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otomí Context triple: [Pame, hasLinguisticRelation, Otomí]
-
A.
Tato
Tato was an early Lombard king of the Lething dynasty, known from tradition as a pre-migration ruler in the tribe’s legendary history.
-
B.
Musina
Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
-
C.
Oton
Oton is a coastal municipality in the Philippine province of Iloilo known for its historical heritage and proximity to Iloilo City.
-
D.
Némi
Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
-
E.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
- 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: Otomí Triple: [Pame, hasLinguisticRelation, Otomí]
Generated description
Otomí is an indigenous people of central Mexico whose Oto-Manguean language and rich cultural traditions have persisted since pre-Hispanic times.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Otomí Target entity description: Otomí is an indigenous people of central Mexico whose Oto-Manguean language and rich cultural traditions have persisted since pre-Hispanic times.
-
A.
Tato
Tato was an early Lombard king of the Lething dynasty, known from tradition as a pre-migration ruler in the tribe’s legendary history.
-
B.
Musina
Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
-
C.
Oton
Oton is a coastal municipality in the Philippine province of Iloilo known for its historical heritage and proximity to Iloilo City.
-
D.
Némi
Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
-
E.
Olesko
Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb659307c81908279adb641ceef86 |
completed | April 2, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2292b50a881909ff868487639fbfd |
completed | April 5, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69d22a2831348190909b9507edfe49f3 |
completed | April 5, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22af8914c8190a8116a37a42b633c |
completed | April 5, 2026, 9:27 a.m. |
Created at: March 30, 2026, 8:45 p.m.