Triple
T16750055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Serbia |
E407048
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | JU |
E407048
|
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: JU | Statement: [Air Serbia, IATACode, JU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JU Context triple: [Air Serbia, IATACode, JU]
-
A.
JU
chosen
JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
-
B.
JU
JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
-
C.
JU
JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
-
D.
JUB
JUB is the ICAO airline designator assigned to Jubba Airways, a regional carrier based in Somalia.
-
E.
UJ
UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa265a908190a87fa4612bfe6396 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a522255c8190ab16d7ad233fcd3b |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.