Triple
T6674519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sa el-Hagar |
E151816
|
entity |
| Predicate | hasHistoricalLayer |
P62902
|
FINISHED |
| Object | Pharaonic period remains |
—
|
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: Pharaonic period remains | Statement: [Sa el-Hagar, hasHistoricalLayer, Pharaonic period remains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalLayer Context triple: [Sa el-Hagar, hasHistoricalLayer, Pharaonic period remains]
-
A.
historicalLayer
chosen
Indicates a relationship where one entity represents or belongs to a particular historical stratum, phase, or period relative to another.
-
B.
hasHistoricalSuperstrate
Indicates that one language or culture has served as a historically dominant external influence shaping another language or culture, typically through contact, conquest, or prestige.
-
C.
hasHistoricalLandCover
Indicates that an entity is associated with information about the land cover that existed in a specified area during a past time period.
-
D.
hasHistoricalSection
Indicates that something includes a dedicated part or segment that presents historical information or context.
-
E.
hasHistoricalData
Indicates that an entity possesses recorded information or records about past events, states, or values relevant to it.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:03 p.m.