Triple
T22452929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luberon Regional Natural Park |
E555037
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Apt |
—
|
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: Apt | Statement: [Luberon Regional Natural Park, contains, Apt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apt Context triple: [Luberon Regional Natural Park, contains, Apt]
-
A.
Apt
Apt is the surname of Milburn G. Apt, a U.S. Air Force test pilot known for being the first person to exceed Mach 3.
-
B.
Apt
chosen
Apt is a historic market town in southeastern France’s Vaucluse department, known for its candied fruit production and Provençal charm.
-
C.
apt-get
apt-get is a command-line package management tool on Debian-based Linux systems that automates the retrieval, installation, upgrade, and removal of software packages.
-
D.
APT-P
APT-P was the experimental tilting prototype of British Rail’s Advanced Passenger Train, built to test high-speed rail technology in the 1970s–80s.
-
E.
AAPT
AAPT is a professional organization dedicated to advancing the teaching and learning of physics at all educational levels.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4d6368819082cafbbd83339fbf |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.