Triple
T9717187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parentalia |
E235169
|
entity |
| Predicate | associatedDeityOrSpirit |
P60881
|
FINISHED |
| Object |
lares
Lares are protective household and local guardian spirits in ancient Roman religion, venerated for safeguarding families, homes, and communities.
|
E817213
|
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: lares | Statement: [Parentalia, associatedDeityOrSpirit, lares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: lares Context triple: [Parentalia, associatedDeityOrSpirit, lares]
-
A.
LARAS
LARAS is the acronym for the Latin Recording Academy, the organization best known for presenting the Latin Grammy Awards and promoting Latin music and its creators worldwide.
-
B.
Llavorsí
Llavorsí is a small village in the Catalan Pyrenees of Spain, known as a gateway for mountain tourism and white-water rafting.
-
C.
Lar
Lar is a historic city in Iran’s Fars Province, known for its traditional architecture and role as a regional commercial center.
-
D.
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.
-
E.
Lepar
Lepar is an island in Indonesia’s Bangka Belitung Islands province, known for its coastal landscapes and role in the region’s maritime and resource-based activities.
- 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: lares Triple: [Parentalia, associatedDeityOrSpirit, lares]
Generated description
Lares are protective household and local guardian spirits in ancient Roman religion, venerated for safeguarding families, homes, and communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: lares Target entity description: Lares are protective household and local guardian spirits in ancient Roman religion, venerated for safeguarding families, homes, and communities.
-
A.
LARAS
LARAS is the acronym for the Latin Recording Academy, the organization best known for presenting the Latin Grammy Awards and promoting Latin music and its creators worldwide.
-
B.
Llavorsí
Llavorsí is a small village in the Catalan Pyrenees of Spain, known as a gateway for mountain tourism and white-water rafting.
-
C.
Lar
Lar is a historic city in Iran’s Fars Province, known for its traditional architecture and role as a regional commercial center.
-
D.
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.
-
E.
Lepar
Lepar is an island in Indonesia’s Bangka Belitung Islands province, known for its coastal landscapes and role in the region’s maritime and resource-based activities.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e3d75e08190b4d86363595bd40d |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f986f48819090376fb5aafb3da2 |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a3aaa5cc819086f560eded288070 |
completed | April 4, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a44ab2a48190a17d13906ab08129 |
completed | April 4, 2026, 11:52 p.m. |
Created at: March 30, 2026, 8:20 p.m.