Triple
T2858837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinchaysuyu |
E63267
|
entity |
| Predicate | integratedPeoples |
P2750
|
FINISHED |
| Object |
Quitu
Quitu were an indigenous pre-Inca people of the Andean region, associated with the area around present-day Quito in Ecuador.
|
E305137
|
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: Quitu | Statement: [Chinchaysuyu, integratedPeoples, Quitu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quitu Context triple: [Chinchaysuyu, integratedPeoples, Quitu]
-
A.
Ziro
Ziro is a picturesque valley town in northeastern India known for its Apatani tribal culture, rice fields, and the annual Ziro Music Festival.
-
B.
Guabiraba
Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
-
C.
Qi'ra
Qi'ra is a central character in the Star Wars universe, known as Han Solo’s enigmatic former love interest who rises to power in the criminal underworld.
-
D.
Jakaltek
Jakaltek is a Mayan language spoken primarily by the Jakaltek (Popti’) people of Guatemala’s western highlands.
-
E.
Pulaar
Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
- 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: Quitu Triple: [Chinchaysuyu, integratedPeoples, Quitu]
Generated description
Quitu were an indigenous pre-Inca people of the Andean region, associated with the area around present-day Quito in Ecuador.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quitu Target entity description: Quitu were an indigenous pre-Inca people of the Andean region, associated with the area around present-day Quito in Ecuador.
-
A.
Ziro
Ziro is a picturesque valley town in northeastern India known for its Apatani tribal culture, rice fields, and the annual Ziro Music Festival.
-
B.
Guabiraba
Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
-
C.
Qi'ra
Qi'ra is a central character in the Star Wars universe, known as Han Solo’s enigmatic former love interest who rises to power in the criminal underworld.
-
D.
Jakaltek
Jakaltek is a Mayan language spoken primarily by the Jakaltek (Popti’) people of Guatemala’s western highlands.
-
E.
Pulaar
Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe08ae5048190a0a3b573d9a5fdbc |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d91f6448190866f6ee0491041cf |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b01e45f6e481908665e0961c3a3778 |
completed | March 10, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0224832108190be252c0245d588d2 |
completed | March 10, 2026, 1:53 p.m. |
Created at: March 6, 2026, 10:02 p.m.