Triple
T1284024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ta-Mehu |
E27390
|
entity |
| Predicate | hasPoliticalSignificance |
P16133
|
FINISHED |
| Object | seat of early Egyptian kings |
—
|
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: seat of early Egyptian kings | Statement: [Ta-Mehu, hasPoliticalSignificance, seat of early Egyptian kings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalSignificance Context triple: [Ta-Mehu, hasPoliticalSignificance, seat of early Egyptian kings]
-
A.
hasHistoricalSignificance
Indicates that something possesses notable importance or influence within a historical context or period.
-
B.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
C.
hasNationalImportance
Indicates that something possesses significance or relevance at the level of an entire nation, rather than just local or regional importance.
-
D.
hasRegionalSignificance
Indicates that something holds particular importance, influence, or relevance within a specific geographic region.
-
E.
politicalImportance
chosen
Indicates the degree to which something holds significance, influence, or priority within political processes, decisions, or power structures.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b599ac819096fca9ada294d939 |
completed | March 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69a4bee276d8819092f71c5a1140bb61 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.