Triple
T6408015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papaloapan River |
E127635
|
entity |
| Predicate | hasCityOnRiver |
P17819
|
FINISHED |
| Object |
Alvarado
Alvarado is a historic port city in the Mexican state of Veracruz, known for its fishing industry and location near the Gulf of Mexico.
|
E590586
|
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: Alvarado | Statement: [Papaloapan River, hasCityOnRiver, Alvarado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvarado Context triple: [Papaloapan River, hasCityOnRiver, Alvarado]
-
A.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
B.
Covarrubias
Covarrubias is a Spanish surname most notably associated with Renaissance architect and sculptor Alonso de Covarrubias, whose work significantly shaped the Plateresque style.
-
C.
De Leon
De Leon is a surname of Spanish origin commonly borne by individuals and places in Spanish-speaking and former Spanish-colonial regions.
-
D.
Zavala
Zavala is a coastal town in southern Mozambique’s Inhambane Province, known for its beaches and traditional Chopi music and dance.
-
E.
Cortez
Cortez is a Spanish-origin surname historically associated with figures in the Americas, including the Mexican-American folk hero Gregorio Cortez.
- 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: Alvarado Triple: [Papaloapan River, hasCityOnRiver, Alvarado]
Generated description
Alvarado is a historic port city in the Mexican state of Veracruz, known for its fishing industry and location near the Gulf of Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alvarado Target entity description: Alvarado is a historic port city in the Mexican state of Veracruz, known for its fishing industry and location near the Gulf of Mexico.
-
A.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
B.
Covarrubias
Covarrubias is a Spanish surname most notably associated with Renaissance architect and sculptor Alonso de Covarrubias, whose work significantly shaped the Plateresque style.
-
C.
De Leon
De Leon is a surname of Spanish origin commonly borne by individuals and places in Spanish-speaking and former Spanish-colonial regions.
-
D.
Zavala
Zavala is a coastal town in southern Mozambique’s Inhambane Province, known for its beaches and traditional Chopi music and dance.
-
E.
Cortez
Cortez is a Spanish-origin surname historically associated with figures in the Americas, including the Mexican-American folk hero Gregorio Cortez.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068ccd804819097b106604372c14a |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638b38c888190aa2433173db64c90 |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c63acb98588190b03c31eb3d8bdc35 |
completed | March 27, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63b334e608190b811b30e93199ac0 |
completed | March 27, 2026, 8:09 a.m. |
Created at: March 22, 2026, 4:41 p.m.