Triple
T131963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central America |
E2671
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Tegucigalpa
Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
|
E23093
|
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: Tegucigalpa | Statement: [Central America, hasMajorCity, Tegucigalpa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tegucigalpa Context triple: [Central America, hasMajorCity, Tegucigalpa]
-
A.
San Salvador
San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
-
B.
Guatemala City
Guatemala City is the capital and largest city of Guatemala, serving as the country’s political, economic, and cultural center.
-
C.
Trujillo
Trujillo is a major coastal city in northwestern Peru known for its colonial architecture, cultural festivals, and proximity to important pre-Columbian archaeological sites.
-
D.
Santiago de Veraguas
Santiago de Veraguas is a principal urban and commercial center in western Panama and the capital of Veraguas Province.
-
E.
Panama City
Panama City is the largest urban center and economic hub of Panama, known for its modern skyline, historic Casco Viejo district, and proximity to the Panama Canal.
- 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: Tegucigalpa Triple: [Central America, hasMajorCity, Tegucigalpa]
Generated description
Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tegucigalpa Target entity description: Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
-
A.
San Salvador
San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
-
B.
Guatemala City
Guatemala City is the capital and largest city of Guatemala, serving as the country’s political, economic, and cultural center.
-
C.
Trujillo
Trujillo is a major coastal city in northwestern Peru known for its colonial architecture, cultural festivals, and proximity to important pre-Columbian archaeological sites.
-
D.
Santiago de Veraguas
Santiago de Veraguas is a principal urban and commercial center in western Panama and the capital of Veraguas Province.
-
E.
Panama City
Panama City is the largest urban center and economic hub of Panama, known for its modern skyline, historic Casco Viejo district, and proximity to the Panama Canal.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25785ad5c819097c00f31719fea7e |
completed | Feb. 28, 2026, 2:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2fa794c808190acf50a7eb90a012a |
completed | Feb. 28, 2026, 2:23 p.m. |
| NEDg | Description generation | batch_69a2fae7ddac81909c3c41a2965ce637 |
completed | Feb. 28, 2026, 2:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2fb7569908190a054bb840007a5b7 |
completed | Feb. 28, 2026, 2:28 p.m. |
Created at: Feb. 28, 2026, 2:30 a.m.