Triple
T7797898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavaillon |
E180346
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Apt |
E130575
|
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: Apt | Statement: [Cavaillon, near, Apt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apt Context triple: [Cavaillon, near, Apt]
-
A.
Apt
chosen
Apt is a historic market town in southeastern France’s Vaucluse department, known for its candied fruit production and Provençal charm.
-
B.
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.
-
C.
AAPT
AAPT is a professional organization dedicated to advancing the teaching and learning of physics at all educational levels.
-
D.
Debian
Debian is a widely used, community-driven Linux distribution known for its stability, extensive package repository, and role as the basis for many other operating systems such as Ubuntu.
-
E.
HPPA
HPPA is the commonly used abbreviation for Ontario’s Health Protection and Promotion Act, the provincial law that governs public health programs and services.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae984185881908117f9f549ffc443 |
completed | March 30, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb140684ec8190aef5d3cb2e0ea948 |
completed | March 31, 2026, 12:23 a.m. |
Created at: March 30, 2026, 4:32 p.m.