Triple
T13603488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AD Ports Group |
E324999
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
ADPORTS
ADPORTS is the stock ticker for AD Ports Group, a leading Abu Dhabi–based ports, logistics, and maritime services company.
|
E1050065
|
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: ADPORTS | Statement: [AD Ports Group, tickerSymbol, ADPORTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ADPORTS Context triple: [AD Ports Group, tickerSymbol, ADPORTS]
-
A.
Massport
Massport is the Massachusetts Port Authority, a public agency that owns and operates key transportation facilities in the Boston area, including Logan International Airport and the Port of Boston.
-
B.
Aeroport
Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
-
C.
AGS Airports
AGS Airports is a UK-based airport management company that owns and operates several regional airports in Scotland and England.
-
D.
Westports
Westports is a major privately operated container and multipurpose terminal complex within Port Klang, Malaysia, serving as one of the country’s key maritime trade hubs.
-
E.
Flughafen
Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
- 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: ADPORTS Triple: [AD Ports Group, tickerSymbol, ADPORTS]
Generated description
ADPORTS is the stock ticker for AD Ports Group, a leading Abu Dhabi–based ports, logistics, and maritime services company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ADPORTS Target entity description: ADPORTS is the stock ticker for AD Ports Group, a leading Abu Dhabi–based ports, logistics, and maritime services company.
-
A.
Massport
Massport is the Massachusetts Port Authority, a public agency that owns and operates key transportation facilities in the Boston area, including Logan International Airport and the Port of Boston.
-
B.
Aeroport
Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
-
C.
AGS Airports
AGS Airports is a UK-based airport management company that owns and operates several regional airports in Scotland and England.
-
D.
Westports
Westports is a major privately operated container and multipurpose terminal complex within Port Klang, Malaysia, serving as one of the country’s key maritime trade hubs.
-
E.
Flughafen
Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ca07481909c45da551ea61ab4 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f93ec588190993baec788d22670 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f780bc40f481908191fec9a563e547 |
completed | May 3, 2026, 5:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7817b8c408190b7211ba8fd892f75 |
completed | May 3, 2026, 5:10 p.m. |
Created at: April 9, 2026, 9:49 p.m.