Triple
T23305983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qom |
E590435
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Toba Qom
Toba Qom is an Indigenous people of the Gran Chaco region in South America, primarily living in Argentina, Paraguay, and Bolivia, with their own distinct language and cultural traditions.
|
E1580505
|
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: Toba Qom | Statement: [Qom, alsoKnownAs, Toba Qom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toba Qom Context triple: [Qom, alsoKnownAs, Toba Qom]
-
A.
Kachiun-Qasar
Kachiun-Qasar, better known as Khasar, was a prominent Mongol general and one of Genghis Khan’s most trusted brothers and military commanders.
-
B.
Qanjobal
Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
-
C.
Taftan
Taftan is a town in Pakistan’s Balochistan province known as a key border crossing and trade gateway between Pakistan and Iran.
-
D.
Lagodekhi
Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
-
E.
Kouhrang
Kouhrang is a city in western Iran known for its mountainous landscapes, natural springs, and role as a source region for major water transfer projects.
- 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: Toba Qom Triple: [Qom, alsoKnownAs, Toba Qom]
Generated description
Toba Qom is an Indigenous people of the Gran Chaco region in South America, primarily living in Argentina, Paraguay, and Bolivia, with their own distinct language and cultural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toba Qom Target entity description: Toba Qom is an Indigenous people of the Gran Chaco region in South America, primarily living in Argentina, Paraguay, and Bolivia, with their own distinct language and cultural traditions.
-
A.
Kachiun-Qasar
Kachiun-Qasar, better known as Khasar, was a prominent Mongol general and one of Genghis Khan’s most trusted brothers and military commanders.
-
B.
Qanjobal
Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
-
C.
Taftan
Taftan is a town in Pakistan’s Balochistan province known as a key border crossing and trade gateway between Pakistan and Iran.
-
D.
Lagodekhi
Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
-
E.
Kouhrang
Kouhrang is a city in western Iran known for its mountainous landscapes, natural springs, and role as a source region for major water transfer projects.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972737c08190bd011776564c3861 |
completed | April 29, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c9af5c481908d9bccc9e0370c9f |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4e7c53d0819096e33379351a3c8f |
completed | May 19, 2026, 11:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4f26ab808190a7c1b5b73954ef0f |
completed | May 19, 2026, 11:53 a.m. |
Created at: April 17, 2026, 5:05 p.m.