Triple
T22470641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A11 motorway (Portugal) |
E555486
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Lixa
Lixa is a small town in northern Portugal known for its proximity to major transport routes and its role as a local commercial and residential center.
|
E1538936
|
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: Lixa | Statement: [A11 motorway (Portugal), passesNear, Lixa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lixa Context triple: [A11 motorway (Portugal), passesNear, Lixa]
-
A.
Liqenas
Liqenas is the former name of the municipality now known as Pustec, located in the Prespa region of southeastern Albania.
-
B.
Luzi
Luzi is a given name associated with the Austrian actor Luzi von Sonnenthal.
-
C.
Jiloca
Jiloca is a river in northeastern Spain that flows through the autonomous community of Aragon, contributing to the region’s agricultural and natural landscapes.
-
D.
Ticha
Ticha is a retired Portuguese basketball point guard best known for her standout WNBA career, particularly with the Sacramento Monarchs.
-
E.
Lusei
Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
- 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: Lixa Triple: [A11 motorway (Portugal), passesNear, Lixa]
Generated description
Lixa is a small town in northern Portugal known for its proximity to major transport routes and its role as a local commercial and residential center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lixa Target entity description: Lixa is a small town in northern Portugal known for its proximity to major transport routes and its role as a local commercial and residential center.
-
A.
Liqenas
Liqenas is the former name of the municipality now known as Pustec, located in the Prespa region of southeastern Albania.
-
B.
Luzi
Luzi is a given name associated with the Austrian actor Luzi von Sonnenthal.
-
C.
Jiloca
Jiloca is a river in northeastern Spain that flows through the autonomous community of Aragon, contributing to the region’s agricultural and natural landscapes.
-
D.
Ticha
Ticha is a retired Portuguese basketball point guard best known for her standout WNBA career, particularly with the Sacramento Monarchs.
-
E.
Lusei
Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15bdf6dfc8190aa8dc80ad92a9267 |
completed | April 29, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b12585c348190b78d051b0fc21983 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b14d8ab4481909d2ace72101c9504 |
completed | May 18, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b158ba2308190ab045ae08facf65e |
completed | May 18, 2026, 1:35 p.m. |
Created at: April 16, 2026, 8:48 p.m.