Triple
T16247088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb of Nefertari |
E394397
|
entity |
| Predicate | designatedAs |
P974
|
FINISHED |
| Object | QV66 |
E393251
|
NE 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: QV66 | Statement: [Tomb of Nefertari, designatedAs, QV66]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QV66 Context triple: [Tomb of Nefertari, designatedAs, QV66]
-
A.
QV66
chosen
QV66 is the richly decorated tomb of Queen Nefertari, wife of Ramesses II, in Egypt’s Valley of the Queens and is renowned for its exceptionally well-preserved wall paintings.
-
B.
QV71
QV71 is an ancient Egyptian tomb in the Valley of the Queens that served as the burial place of Princess Bintanath, daughter of Pharaoh Ramesses II.
-
C.
QVT
QVT (Query/View/Transformation) is an OMG standard language for specifying model-to-model transformations in model-driven software engineering.
-
D.
VQPR
VQPR is the ICAO airport code for Paro Airport, the primary international airport of Bhutan known for its challenging approach amid Himalayan terrain.
-
E.
J6
J6 is the U.S. military staff directorate responsible for command, control, communications, and computer systems that enable joint operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245931074819096f38003da70f271 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee3bbc48190a56ce2807a9510f0 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.