Triple
T9694521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Araucanian languages |
E234613
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Moluche
Moluche is a historical indigenous people of south-central Chile whose language is part of the broader Araucanian (Mapuche) language family.
|
E815819
|
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: Moluche | Statement: [Araucanian languages, hasPart, Moluche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moluche Context triple: [Araucanian languages, hasPart, Moluche]
-
A.
Tjibaou
Tjibaou is the surname of Jean-Marie Tjibaou, a prominent Kanak independence leader and cultural figure from New Caledonia.
-
B.
Matehuala
Matehuala is a significant commercial and transportation hub city in the northern part of the Mexican state of San Luis Potosí.
-
C.
Galibi
Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
-
D.
Votonosi
Votonosi is a small village located in the mountainous Metsovo region of northwestern Greece, known for its traditional Epirus character and natural surroundings.
-
E.
Hatsa
Hatsa is an alternative name for the Hadza language, a highly distinctive click language spoken by the Hadza people of north-central Tanzania.
- 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: Moluche Triple: [Araucanian languages, hasPart, Moluche]
Generated description
Moluche is a historical indigenous people of south-central Chile whose language is part of the broader Araucanian (Mapuche) language family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moluche Target entity description: Moluche is a historical indigenous people of south-central Chile whose language is part of the broader Araucanian (Mapuche) language family.
-
A.
Tjibaou
Tjibaou is the surname of Jean-Marie Tjibaou, a prominent Kanak independence leader and cultural figure from New Caledonia.
-
B.
Matehuala
Matehuala is a significant commercial and transportation hub city in the northern part of the Mexican state of San Luis Potosí.
-
C.
Galibi
Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
-
D.
Votonosi
Votonosi is a small village located in the mountainous Metsovo region of northwestern Greece, known for its traditional Epirus character and natural surroundings.
-
E.
Hatsa
Hatsa is an alternative name for the Hadza language, a highly distinctive click language spoken by the Hadza people of north-central Tanzania.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d348868819083aec7a5da8c455b |
completed | April 1, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912216d481909f6a0f977d570a93 |
completed | April 4, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d1926e9154819086be60bd6fa55453 |
completed | April 4, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d19611bbe08190b1893727c1fa05ce |
completed | April 4, 2026, 10:52 p.m. |
Created at: March 30, 2026, 8:17 p.m.