Triple
T11361038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GESAP S.p.A. |
E269084
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
GESAP
GESAP is an Italian company that manages and operates Palermo Airport and related aviation services.
|
E921328
|
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: GESAP | Statement: [GESAP S.p.A., hasAbbreviation, GESAP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GESAP Context triple: [GESAP S.p.A., hasAbbreviation, GESAP]
-
A.
GES
GES is the stock ticker symbol for Guess?, Inc., an American clothing and accessories retailer known for its denim and fashion apparel.
-
B.
GEG
GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
-
C.
EGA
EGA (Éléments de Géométrie Algébrique) is Alexander Grothendieck’s foundational multi-volume work that rigorously reformulated algebraic geometry using the language of schemes and sheaf theory.
-
D.
EGA
EGA is the common abbreviation for the Eagle, Globe, and Anchor emblem that symbolizes the United States Marine Corps.
-
E.
EGA
EGA (Enhanced Graphics Adapter) is an early IBM PC graphics standard that improved color and resolution capabilities over the original CGA.
- 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: GESAP Triple: [GESAP S.p.A., hasAbbreviation, GESAP]
Generated description
GESAP is an Italian company that manages and operates Palermo Airport and related aviation services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GESAP Target entity description: GESAP is an Italian company that manages and operates Palermo Airport and related aviation services.
-
A.
GES
GES is the stock ticker symbol for Guess?, Inc., an American clothing and accessories retailer known for its denim and fashion apparel.
-
B.
GEG
GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
-
C.
EGA
EGA (Éléments de Géométrie Algébrique) is Alexander Grothendieck’s foundational multi-volume work that rigorously reformulated algebraic geometry using the language of schemes and sheaf theory.
-
D.
EGA
EGA is the common abbreviation for the Eagle, Globe, and Anchor emblem that symbolizes the United States Marine Corps.
-
E.
EGA
EGA (Enhanced Graphics Adapter) is an early IBM PC graphics standard that improved color and resolution capabilities over the original CGA.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea442e5c8190babfde25540b27e9 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e556542ecc8190a8109c17944598ab |
completed | April 19, 2026, 10:25 p.m. |
| NEDg | Description generation | batch_69e562bb085c8190942766d12d838798 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e569f0e6948190b285ca84aca03771 |
completed | April 19, 2026, 11:49 p.m. |
Created at: April 8, 2026, 9:33 p.m.