Triple
T4237172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallura |
E94721
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Luras
Luras is a small town in the Gallura region of northern Sardinia, Italy, known for its traditional stone architecture and nearby ancient olive trees.
|
E423873
|
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: Luras | Statement: [Gallura, containsCity, Luras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luras Context triple: [Gallura, containsCity, Luras]
-
A.
Laus
Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
-
B.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
-
C.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
D.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
-
E.
Lurs
Lurs are an Iranian ethnic group primarily inhabiting western and southwestern Iran, known for their distinct Luri language and rich tribal and pastoral traditions.
- 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: Luras Triple: [Gallura, containsCity, Luras]
Generated description
Luras is a small town in the Gallura region of northern Sardinia, Italy, known for its traditional stone architecture and nearby ancient olive trees.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luras Target entity description: Luras is a small town in the Gallura region of northern Sardinia, Italy, known for its traditional stone architecture and nearby ancient olive trees.
-
A.
Laus
Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
-
B.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
-
C.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
D.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
-
E.
Lurs
Lurs are an Iranian ethnic group primarily inhabiting western and southwestern Iran, known for their distinct Luri language and rich tribal and pastoral traditions.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e7589b48190a16e7ff29fb6a162 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a86996f48190987d3ac234a9b7f4 |
completed | March 14, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69b5a9f58de48190b6f2f56804bc6d30 |
completed | March 14, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5aabd2080819091d65362cf02120b |
completed | March 14, 2026, 6:36 p.m. |
Created at: March 12, 2026, 11:05 p.m.