Triple
T109759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albufeira-Ferreiras station |
E2220
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Lagos
Lagos is a historic coastal city in Portugal’s Algarve region, known for its scenic beaches, dramatic cliffs, and well-preserved old town.
|
E15664
|
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: Lagos | Statement: [Albufeira-Ferreiras station, connectsTo, Lagos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagos Context triple: [Albufeira-Ferreiras station, connectsTo, Lagos]
-
A.
Lagos
Lagos is a major coastal megacity in southwestern Nigeria, known as the country’s economic hub and one of Africa’s most populous and vibrant urban centers.
-
B.
Ibadan
Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
-
C.
Port Harcourt
Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
-
D.
Abuja
Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
-
E.
Ijaw
The Ijaw are one of the largest ethnic groups in the Niger Delta region of Nigeria, known for their riverine culture, fishing traditions, and significant role in the country's oil-producing areas.
- 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: Lagos Triple: [Albufeira-Ferreiras station, connectsTo, Lagos]
Generated description
Lagos is a historic coastal city in Portugal’s Algarve region, known for its scenic beaches, dramatic cliffs, and well-preserved old town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lagos Target entity description: Lagos is a historic coastal city in Portugal’s Algarve region, known for its scenic beaches, dramatic cliffs, and well-preserved old town.
-
A.
Lagos
Lagos is a major coastal megacity in southwestern Nigeria, known as the country’s economic hub and one of Africa’s most populous and vibrant urban centers.
-
B.
Ibadan
Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
-
C.
Port Harcourt
Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
-
D.
Abuja
Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
-
E.
Ijaw
The Ijaw are one of the largest ethnic groups in the Niger Delta region of Nigeria, known for their riverine culture, fishing traditions, and significant role in the country's oil-producing areas.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a256ce54b48190a3337f5f45d82859 |
completed | Feb. 28, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b01662f88190a4997a3e86c17946 |
completed | Feb. 28, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_69a2b0f1d9408190ba4a5cf775951334 |
completed | Feb. 28, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2b152ef0c819082457e54f99a65b8 |
completed | Feb. 28, 2026, 9:11 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.