Triple
T876858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PTLIS |
E18936
|
entity |
| Predicate | UNLOCODELocationCode |
P1800
|
FINISHED |
| Object | LIS |
E18936
|
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: LIS | Statement: [PTLIS, UNLOCODELocationCode, LIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LIS Context triple: [PTLIS, UNLOCODELocationCode, LIS]
-
A.
litas
The litas was the national currency of Lithuania before the adoption of the euro.
-
B.
PTLIS
chosen
PTLIS is the UN/LOCODE designation for the port and city of Lisbon, Portugal, used in international trade and transport documentation.
-
C.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
D.
LIM
LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
-
E.
Lys
The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acaf30a48190a10ed7fee464c444 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b854469c81908dc4a5c29ee140a4 |
completed | March 4, 2026, 4:43 a.m. |
Created at: March 1, 2026, 7:39 p.m.