Triple
T6484782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curicó Province |
E146480
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Licantén
Licantén is a coastal municipality and town in Chile’s Maule Region, known for its agricultural activities and proximity to the Mataquito River and Pacific Ocean.
|
E597168
|
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: Licantén | Statement: [Curicó Province, hasMunicipality, Licantén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Licantén Context triple: [Curicó Province, hasMunicipality, Licantén]
-
A.
Tayasal
Tayasal was a major Itza Maya city in present-day Guatemala that served as one of the last independent Maya strongholds before Spanish conquest.
-
B.
Salampsio
Salampsio was a daughter of Herod the Great and Mariamne I, belonging to the Herodian royal family of Judea in the late first century BCE.
-
C.
Talagante
Talagante is a commune and town in central Chile, located southwest of Santiago within the Santiago Metropolitan Region.
-
D.
Calbe
Calbe is a small town in the German state of Saxony-Anhalt, known for its location on the Saale River and its historic town center.
-
E.
Arnalta
Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
- 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: Licantén Triple: [Curicó Province, hasMunicipality, Licantén]
Generated description
Licantén is a coastal municipality and town in Chile’s Maule Region, known for its agricultural activities and proximity to the Mataquito River and Pacific Ocean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Licantén Target entity description: Licantén is a coastal municipality and town in Chile’s Maule Region, known for its agricultural activities and proximity to the Mataquito River and Pacific Ocean.
-
A.
Tayasal
Tayasal was a major Itza Maya city in present-day Guatemala that served as one of the last independent Maya strongholds before Spanish conquest.
-
B.
Salampsio
Salampsio was a daughter of Herod the Great and Mariamne I, belonging to the Herodian royal family of Judea in the late first century BCE.
-
C.
Talagante
Talagante is a commune and town in central Chile, located southwest of Santiago within the Santiago Metropolitan Region.
-
D.
Calbe
Calbe is a small town in the German state of Saxony-Anhalt, known for its location on the Saale River and its historic town center.
-
E.
Arnalta
Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6efe1881909a044b1cdaa511af |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653b24670819088fa8e0d7eb6f73b |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c655c84a7c81909bb59f9db52f5d3a |
completed | March 27, 2026, 10:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c656c84ecc8190b5d0c947c27a3bb0 |
completed | March 27, 2026, 10:07 a.m. |
Created at: March 22, 2026, 4:52 p.m.