Triple
T4530092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bologna Guglielmo Marconi Airport |
E106274
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LIPE
LIPE is the ICAO airport code for Bologna Guglielmo Marconi Airport in Bologna, Italy.
|
E449167
|
NE FINISHED |
How this triple was built (4 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: LIPE | Statement: [Bologna Guglielmo Marconi Airport, ICAOcode, LIPE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LIPE Context triple: [Bologna Guglielmo Marconi Airport, ICAOcode, LIPE]
-
A.
LIP
LIP is the vehicle registration code for the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
-
B.
Lipanal
Lipanal is a traditional seasonal festival celebrated within Svan culture, reflecting the community’s distinctive highland customs and rituals.
-
C.
LPE
LPE is the ICAO airline designator for LATAM Perú, a Peruvian subsidiary of the LATAM Airlines Group operating domestic and regional flights.
-
D.
LYBE
LYBE is the ICAO airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
-
E.
Lipikar
Lipikar is La Roche-Posay’s dermatological body-care line formulated to hydrate, protect, and soothe dry to very dry and sensitive skin.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LIPE Triple: [Bologna Guglielmo Marconi Airport, ICAOcode, LIPE]
Generated description
LIPE is the ICAO airport code for Bologna Guglielmo Marconi Airport in Bologna, Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LIPE Target entity description: LIPE is the ICAO airport code for Bologna Guglielmo Marconi Airport in Bologna, Italy.
-
A.
LIP
LIP is the vehicle registration code for the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
-
B.
Lipanal
Lipanal is a traditional seasonal festival celebrated within Svan culture, reflecting the community’s distinctive highland customs and rituals.
-
C.
LPE
LPE is the ICAO airline designator for LATAM Perú, a Peruvian subsidiary of the LATAM Airlines Group operating domestic and regional flights.
-
D.
LYBE
LYBE is the ICAO airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
-
E.
Lipikar
Lipikar is La Roche-Posay’s dermatological body-care line formulated to hydrate, protect, and soothe dry to very dry and sensitive skin.
- F. None of above. chosen
Provenance (5 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd579ba4188190b4cef6e91772f7e5 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda46101648190b0c3ca8cfe54b965 |
completed | March 20, 2026, 7:47 p.m. |
| NEDg | Description generation | batch_69bda4c94d648190985aeac00bc711ce |
completed | March 20, 2026, 7:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bda51d0ddc8190aefa7a9ecd1cf612 |
completed | March 20, 2026, 7:50 p.m. |
Created at: March 20, 2026, 1:03 p.m.