Triple
T9258046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noguera Pallaresa |
E222494
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Llavorsí
Llavorsí is a small village in the Catalan Pyrenees of Spain, known as a gateway for mountain tourism and white-water rafting.
|
E788914
|
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: Llavorsí | Statement: [Noguera Pallaresa, passesNear, Llavorsí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llavorsí Context triple: [Noguera Pallaresa, passesNear, Llavorsí]
-
A.
Llaillay
Llaillay is a Chilean town and commune in the Valparaíso Region, known for its agricultural activity and location in the Aconcagua Valley.
-
B.
Letňany
Letňany is a district in the northeastern part of Prague, Czech Republic, known for its residential areas, shopping centers, and transport links including a terminus of the city’s metro system.
-
C.
Lopevi
Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
-
D.
Dovadola
Dovadola is a small Italian town and municipality in the Emilia-Romagna region, known for its historic center and scenic location in the Apennine foothills.
-
E.
Lelylaan
Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
- 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: Llavorsí Triple: [Noguera Pallaresa, passesNear, Llavorsí]
Generated description
Llavorsí is a small village in the Catalan Pyrenees of Spain, known as a gateway for mountain tourism and white-water rafting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Llavorsí Target entity description: Llavorsí is a small village in the Catalan Pyrenees of Spain, known as a gateway for mountain tourism and white-water rafting.
-
A.
Llaillay
Llaillay is a Chilean town and commune in the Valparaíso Region, known for its agricultural activity and location in the Aconcagua Valley.
-
B.
Letňany
Letňany is a district in the northeastern part of Prague, Czech Republic, known for its residential areas, shopping centers, and transport links including a terminus of the city’s metro system.
-
C.
Lopevi
Lopevi is an Oceanic language of Vanuatu, traditionally spoken on Lopevi Island in the central part of the archipelago.
-
D.
Dovadola
Dovadola is a small Italian town and municipality in the Emilia-Romagna region, known for its historic center and scenic location in the Apennine foothills.
-
E.
Lelylaan
Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd06b660448190b6bc04beff0f5512 |
completed | April 1, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bf225608190ade085302946dd8f |
completed | April 4, 2026, 5:04 a.m. |
| NEDg | Description generation | batch_69d09dc3ccb08190a70e278a67249070 |
completed | April 4, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09e3f211c819087b9e75f0d8faf93 |
completed | April 4, 2026, 5:14 a.m. |
Created at: March 30, 2026, 7:32 p.m.