Triple
T22480854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umm el-Qaab necropolis |
E555758
|
entity |
| Predicate | burialPlaceOf |
P196
|
FINISHED |
| Object | Den |
—
|
NE NERFINISHED |
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: Den | Statement: [Umm el-Qaab necropolis, burialPlaceOf, Den]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Den Context triple: [Umm el-Qaab necropolis, burialPlaceOf, Den]
-
A.
Den
Den is a central fictional character from the British soap opera "EastEnders," known for his complex relationships and dramatic storylines in the early years of the show.
-
B.
Den
chosen
Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
-
C.
Den
Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
-
D.
Dan
Dan is a male given name commonly used in English-speaking countries, often as a short form of Daniel.
-
E.
Dan
Dan is a character in the play "Clybourne Park," representing a contemporary figure who uncovers the neighborhood’s buried history and helps connect past events to present-day tensions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c397b248190b36c2fbfa6489693 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.