Triple
T2457426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palermo Airport |
E54454
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
PMO
PMO is the IATA airport code for Falcone–Borsellino Airport serving Palermo, Sicily, Italy.
|
E269082
|
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: PMO | Statement: [Palermo Airport, IATAcode, PMO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PMO Context triple: [Palermo Airport, IATAcode, PMO]
-
A.
EPMO
EPMO is the ICAO airport code for Warsaw Modlin Airport, a secondary international airport serving the Warsaw metropolitan area in Poland.
-
B.
PMA
PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
-
C.
PMSE
PMSE is a professional division of the American Chemical Society focused on the science and engineering of polymeric materials.
-
D.
PM
PM is the commonly used abbreviation for the Prime Minister of India, the head of the Indian government.
-
E.
PM
PM is the international vehicle registration code assigned to the French overseas collectivity of Saint Pierre and Miquelon.
- 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: PMO Triple: [Palermo Airport, IATAcode, PMO]
Generated description
PMO is the IATA airport code for Falcone–Borsellino Airport serving Palermo, Sicily, Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PMO Target entity description: PMO is the IATA airport code for Falcone–Borsellino Airport serving Palermo, Sicily, Italy.
-
A.
EPMO
EPMO is the ICAO airport code for Warsaw Modlin Airport, a secondary international airport serving the Warsaw metropolitan area in Poland.
-
B.
PMA
PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
-
C.
PMSE
PMSE is a professional division of the American Chemical Society focused on the science and engineering of polymeric materials.
-
D.
PM
PM is the commonly used abbreviation for the Prime Minister of India, the head of the Indian government.
-
E.
PM
PM is the international vehicle registration code assigned to the French overseas collectivity of Saint Pierre and Miquelon.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd10860188190bfc4c554914487b4 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0cd7adc8190b855eb28285fefc5 |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef53740508190893b14bb1b411a30 |
completed | March 9, 2026, 4:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef9594024819088e7afc0e64429ff |
completed | March 9, 2026, 4:46 p.m. |
Created at: March 6, 2026, 9:44 p.m.