Triple
T2731446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colocolo |
E60322
|
entity |
| Predicate | associatedWithPeople |
P2830
|
FINISHED |
| Object |
Lautaro
Lautaro was a prominent 16th-century Mapuche leader and military strategist who resisted Spanish conquest in what is now Chile.
|
E292553
|
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: Lautaro | Statement: [Colocolo, associatedWithPeople, Lautaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lautaro Context triple: [Colocolo, associatedWithPeople, Lautaro]
-
A.
Te Rauparaha
Te Rauparaha was a prominent 19th-century Māori chief and war leader of the Ngāti Toa iwi, renowned for his strategic prowess and enduring influence on New Zealand history.
-
B.
Tamatea
Tamatea is the Māori name for Dusky Sound, a remote fiord in Fiordland, New Zealand, rich in cultural history and natural beauty.
-
C.
Ataulfo
Ataulfo is a small, golden-yellow, sweet and creamy Mexican mango variety prized for its smooth, fiberless flesh.
-
D.
Mapuche leader Colocolo
Colocolo was a prominent 16th-century Mapuche leader in what is now Chile, known for his role in resisting Spanish conquest during the Arauco War.
-
E.
Mata-Utu
Mata-Utu is the main town and administrative center of the French overseas collectivity of Wallis and Futuna in the South Pacific.
- 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: Lautaro Triple: [Colocolo, associatedWithPeople, Lautaro]
Generated description
Lautaro was a prominent 16th-century Mapuche leader and military strategist who resisted Spanish conquest in what is now Chile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lautaro Target entity description: Lautaro was a prominent 16th-century Mapuche leader and military strategist who resisted Spanish conquest in what is now Chile.
-
A.
Te Rauparaha
Te Rauparaha was a prominent 19th-century Māori chief and war leader of the Ngāti Toa iwi, renowned for his strategic prowess and enduring influence on New Zealand history.
-
B.
Tamatea
Tamatea is the Māori name for Dusky Sound, a remote fiord in Fiordland, New Zealand, rich in cultural history and natural beauty.
-
C.
Ataulfo
Ataulfo is a small, golden-yellow, sweet and creamy Mexican mango variety prized for its smooth, fiberless flesh.
-
D.
Mapuche leader Colocolo
Colocolo was a prominent 16th-century Mapuche leader in what is now Chile, known for his role in resisting Spanish conquest during the Arauco War.
-
E.
Mata-Utu
Mata-Utu is the main town and administrative center of the French overseas collectivity of Wallis and Futuna in the South Pacific.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaee29088190bc4c734e48995794 |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb69eeedc81908ad654de9e1259ea |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb703a5f8819097b71e19db11feaf |
completed | March 10, 2026, 6:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb7acf3588190813bde4428dfe5f4 |
completed | March 10, 2026, 6:18 a.m. |
Created at: March 6, 2026, 9:56 p.m.