Triple
T5960276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thinis |
E132617
|
entity |
| Predicate | nomeNumber |
P8195
|
FINISHED |
| Object | 8th Upper Egyptian nome |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 8th Upper Egyptian nome | Statement: [Thinis, nomeNumber, 8th Upper Egyptian nome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nomeNumber Context triple: [Thinis, nomeNumber, 8th Upper Egyptian nome]
-
A.
imoNumber
Indicates that an entity is associated with a specific International Maritime Organization (IMO) identification number used to uniquely identify ships and certain maritime structures.
-
B.
number
chosen
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
C.
numberOfNames
Indicates the count of distinct names associated with a given entity.
-
D.
nameOf
Indicates that one entity is the name or designation of another entity.
-
E.
positionNumber
Indicates the specific ordinal or identifying number assigned to a position within an ordered set or organizational structure.
- F. None of above.
Provenance (3 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:02 p.m.