Triple
T22480848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umm el-Qaab necropolis |
E555758
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Cemetery B |
—
|
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: Cemetery B | Statement: [Umm el-Qaab necropolis, hasPart, Cemetery B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cemetery B Context triple: [Umm el-Qaab necropolis, hasPart, Cemetery B]
-
A.
Cemetery B
chosen
Cemetery B is an early dynastic royal burial ground at Umm el-Qaab in Abydos, Egypt, associated with some of the first pharaohs.
-
B.
Benge Cemetery
Benge Cemetery is a small rural burial ground serving the community of Benge in Adams County, Washington.
-
C.
Ballana cemetery
Ballana cemetery is an archaeological burial site in Lower Nubia notable for its rich royal tombs and artifacts from the late Meroitic and post-Meroitic periods.
-
D.
Jellaz Cemetery
Jellaz Cemetery is a historic and prominent Muslim burial ground in Tunis, Tunisia, known as the resting place of many notable Tunisian figures.
-
E.
Mamilla Cemetery
Mamilla Cemetery is an ancient Islamic burial ground in Jerusalem, historically significant for its centuries-old tombs and its location near the Old City.
- 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.