Triple
T13143930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biotrén |
E312286
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Concepción, Chile
Concepción, Chile is a major industrial and university city in south-central Chile, known as a key economic, cultural, and transportation hub of the Biobío Region.
|
E1031454
|
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: Concepción, Chile | Statement: [Biotrén, serves, Concepción, Chile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Concepción, Chile Context triple: [Biotrén, serves, Concepción, Chile]
-
A.
Concepción
Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
-
B.
Concepción
Concepción is a city in northern Paraguay known as a regional commercial and river port hub.
-
C.
Concepción
Concepción is the flirtatious and cunning clockmaker’s wife at the center of Maurice Ravel’s comic opera "L’heure espagnole," around whom the farcical romantic intrigues revolve.
-
D.
Concepción
Concepción is a Spanish feminine given name, often associated with traditional Catholic devotion to the Immaculate Conception.
-
E.
Concepción
Concepción is a city in northern Argentina known as an important commercial and agricultural center within Tucumán Province.
- 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: Concepción, Chile Triple: [Biotrén, serves, Concepción, Chile]
Generated description
Concepción, Chile is a major industrial and university city in south-central Chile, known as a key economic, cultural, and transportation hub of the Biobío Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Concepción, Chile Target entity description: Concepción, Chile is a major industrial and university city in south-central Chile, known as a key economic, cultural, and transportation hub of the Biobío Region.
-
A.
Concepción
Concepción is the flirtatious and cunning clockmaker’s wife at the center of Maurice Ravel’s comic opera "L’heure espagnole," around whom the farcical romantic intrigues revolve.
-
B.
Concepción
Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
-
C.
Concepción
Concepción is a city in northern Paraguay known as a regional commercial and river port hub.
-
D.
Concepción
Concepción is a Spanish feminine given name, often associated with traditional Catholic devotion to the Immaculate Conception.
-
E.
Concepción
Concepción is a city in northern Argentina known as an important commercial and agricultural center within Tucumán Province.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bce3678819082a7aa1d83f20592 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a2894848190b5853127ef04932c |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70aec0e4481909f6ea77136f2e970 |
completed | May 3, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70bcb8b60819087afe37a3919d26b |
completed | May 3, 2026, 8:48 a.m. |
Created at: April 9, 2026, 9:10 p.m.