Triple
T6542266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Dorligo della Valle |
E168317
|
entity |
| Predicate | hasProvinceCode |
P3446
|
FINISHED |
| Object | TS |
E165773
|
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: TS | Statement: [San Dorligo della Valle, hasProvinceCode, TS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TS Context triple: [San Dorligo della Valle, hasProvinceCode, TS]
-
A.
TS
TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
-
B.
TS
chosen
TS is the vehicle registration code used on license plates for the Province of Trieste in northeastern Italy.
-
C.
TS
TS is the official vehicle registration code used on motor vehicles registered in the Indian state of Telangana.
-
D.
TS
TS is the IATA airline designator assigned to Air Transat, a Canadian leisure airline based in Montreal.
-
E.
TPS
TPS is a renowned lean manufacturing and management philosophy developed by Toyota that emphasizes waste reduction, continuous improvement, and respect for people.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add9036081908917ff27ceed1038 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d541f25081909a4b218fd38718c6 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:50 p.m.