Triple
T15145892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messa |
E361804
|
entity |
| Predicate | riverSystem |
P1009
|
FINISHED |
| Object | Po |
E94070
|
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: Po | Statement: [Messa, riverSystem, Po]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Po Context triple: [Messa, riverSystem, Po]
-
A.
Po
chosen
The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
-
B.
Po
Po is the lovable, dumpling-obsessed panda who becomes the Dragon Warrior and hero of the Kung Fu Panda film series.
-
C.
Po
Po is the small, red Teletubby character known for riding a scooter and speaking in a soft, childlike voice.
-
D.
PO
PO is the vehicle registration code used on license plates for the city of Požarevac in Serbia.
-
E.
PO
PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c71b688190b2e8ccfdf4db9037 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff02e648190bd10f04a374da227 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.