Triple
T9421959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massylii |
E227173
|
entity |
| Predicate | ruler |
P403
|
FINISHED |
| Object |
Lacumazes
Lacumazes was a lesser-known ancient North African monarch associated with the Massylii, a Numidian people in what is now Algeria and Tunisia.
|
E798456
|
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: Lacumazes | Statement: [Massylii, ruler, Lacumazes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lacumazes Context triple: [Massylii, ruler, Lacumazes]
-
A.
Lacmalac
Lacmalac is a rural locality in New South Wales, Australia, situated near the town of Tumut in the Riverina region.
-
B.
Tackley
Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
-
C.
Jincamocco
Jincamocco is an important archaeological site associated with the Wari Empire, reflecting the political and cultural influence of this pre-Inca Andean civilization.
-
D.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
-
E.
Tarouca
Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
- 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: Lacumazes Triple: [Massylii, ruler, Lacumazes]
Generated description
Lacumazes was a lesser-known ancient North African monarch associated with the Massylii, a Numidian people in what is now Algeria and Tunisia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lacumazes Target entity description: Lacumazes was a lesser-known ancient North African monarch associated with the Massylii, a Numidian people in what is now Algeria and Tunisia.
-
A.
Lacmalac
Lacmalac is a rural locality in New South Wales, Australia, situated near the town of Tumut in the Riverina region.
-
B.
Tackley
Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
-
C.
Jincamocco
Jincamocco is an important archaeological site associated with the Wari Empire, reflecting the political and cultural influence of this pre-Inca Andean civilization.
-
D.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
-
E.
Tarouca
Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c2651c48190808281779fab49df |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107d290148190855b8d50eb80c591 |
completed | April 4, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69d108d87adc8190b602c115c09650d6 |
completed | April 4, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d10995e3bc8190a8db18e4ed0fc261 |
completed | April 4, 2026, 12:52 p.m. |
Created at: March 30, 2026, 7:48 p.m.