Triple
T311345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venetic language |
E7613
|
entity |
| Predicate | hasNotableInscriptionSite |
P2462
|
FINISHED |
| Object |
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
|
E42397
|
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: Lamon | Statement: [Venetic language, hasNotableInscriptionSite, Lamon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamon Context triple: [Venetic language, hasNotableInscriptionSite, Lamon]
-
A.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
B.
Bones McKinney
Bones McKinney was an American professional basketball player and later coach, best known for his colorful personality and contributions to early pro basketball and college coaching.
-
C.
Aldridge
Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
-
D.
Roscoe
"Roscoe" is an essay by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that reflects on the life and character of English historian and writer William Roscoe.
-
E.
Al Reser
Al Reser was an American businessman and Oregon State University alumnus best known as the longtime head of Reser's Fine Foods and a major benefactor of OSU athletics.
- 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: Lamon Triple: [Venetic language, hasNotableInscriptionSite, Lamon]
Generated description
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lamon Target entity description: Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
A.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
B.
Bones McKinney
Bones McKinney was an American professional basketball player and later coach, best known for his colorful personality and contributions to early pro basketball and college coaching.
-
C.
Aldridge
Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
-
D.
Roscoe
"Roscoe" is an essay by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that reflects on the life and character of English historian and writer William Roscoe.
-
E.
Al Reser
Al Reser was an American businessman and Oregon State University alumnus best known as the longtime head of Reser's Fine Foods and a major benefactor of OSU athletics.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee016c408190beab4009653524db |
completed | Feb. 28, 2026, 1:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d23f2fa48190a07ee8ae1ab0cd5c |
completed | March 1, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_69a3d2a4bef48190a708122ee97c2af8 |
completed | March 1, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3d31f3f20819086f386383f67405d |
completed | March 1, 2026, 5:48 a.m. |
Created at: Feb. 28, 2026, 1:07 p.m.