Triple
T16759892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loja |
E407311
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Lawša
Lawša is the former name of the town now known as Loja, a historic settlement in northern Peru.
|
E1231509
|
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: Lawša | Statement: [Loja, formerName, Lawša]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawša Context triple: [Loja, formerName, Lawša]
-
A.
Laza
Laza is a village located in the Gusar District of northeastern Azerbaijan, known for its mountainous scenery and nearby waterfalls.
-
B.
Plesac
Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
-
C.
Blansko
Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
-
D.
Baroš
Baroš is a Czech surname most prominently associated with Milan Baroš, a former professional footballer and UEFA Euro 2004 Golden Boot winner.
-
E.
Tlmače
Tlmače is a small industrial town in western Slovakia known for its energy-related manufacturing and location along the Hron River.
- 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: Lawša Triple: [Loja, formerName, Lawša]
Generated description
Lawša is the former name of the town now known as Loja, a historic settlement in northern Peru.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lawša Target entity description: Lawša is the former name of the town now known as Loja, a historic settlement in northern Peru.
-
A.
Laza
Laza is a village located in the Gusar District of northeastern Azerbaijan, known for its mountainous scenery and nearby waterfalls.
-
B.
Plesac
Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
-
C.
Blansko
Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
-
D.
Baroš
Baroš is a Czech surname most prominently associated with Milan Baroš, a former professional footballer and UEFA Euro 2004 Golden Boot winner.
-
E.
Tlmače
Tlmače is a small industrial town in western Slovakia known for its energy-related manufacturing and location along the Hron River.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abeb3ab08190918f6bff686858be |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52b17b88190af24c04d16980c9f |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5e1eea8819088553ac6673e9b1c |
completed | May 10, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a68b92b48190865ddd477a8ba1c6 |
completed | May 10, 2026, 3:38 p.m. |
Created at: April 10, 2026, 5:21 a.m.