Triple
T16460827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nueva Segovia Department |
E399800
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Macuelizo
Macuelizo is a town and municipality in northern Nicaragua’s Nueva Segovia Department, known for its rural economy and proximity to the Honduran border.
|
E1214902
|
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: Macuelizo | Statement: [Nueva Segovia Department, hasMajorCity, Macuelizo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macuelizo Context triple: [Nueva Segovia Department, hasMajorCity, Macuelizo]
-
A.
Maceda
Maceda is a civil parish located within the municipality of Ovar in Portugal.
-
B.
Balbuena
Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
-
C.
Guanito
Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
-
D.
Pilcaniyeu
Pilcaniyeu is a small town in Argentina’s Patagonia region, located in the Andean area of Río Negro Province and known for its rural character and nearby natural landscapes.
-
E.
Guindulungan
Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
- 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: Macuelizo Triple: [Nueva Segovia Department, hasMajorCity, Macuelizo]
Generated description
Macuelizo is a town and municipality in northern Nicaragua’s Nueva Segovia Department, known for its rural economy and proximity to the Honduran border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Macuelizo Target entity description: Macuelizo is a town and municipality in northern Nicaragua’s Nueva Segovia Department, known for its rural economy and proximity to the Honduran border.
-
A.
Maceda
Maceda is a civil parish located within the municipality of Ovar in Portugal.
-
B.
Balbuena
Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
-
C.
Guanito
Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
-
D.
Pilcaniyeu
Pilcaniyeu is a small town in Argentina’s Patagonia region, located in the Andean area of Río Negro Province and known for its rural character and nearby natural landscapes.
-
E.
Guindulungan
Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d80e66c8190b2b3199efe9cfaa1 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f53aff081909a75de6672f15f0e |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050a0f5b081908417c6062b1f50cc |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00517b7b1c819098118fdbe03eb010 |
completed | May 10, 2026, 9:35 a.m. |
Created at: April 10, 2026, 5:10 a.m.