Triple
T318474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andersen Air Force Base |
E7760
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
UAM
UAM is the IATA airport code for Andersen Air Force Base, a major United States Air Force installation on Guam.
|
E41155
|
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: UAM | Statement: [Andersen Air Force Base, IATAcode, UAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UAM Context triple: [Andersen Air Force Base, IATAcode, UAM]
-
A.
AMU
The AMU, or Arab Maghreb Union, is a regional organization that promotes economic and political cooperation among North African Maghreb countries.
-
B.
USMIA
USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
-
C.
AMX
AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
-
D.
AMRO
AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
-
E.
Unidad Militar de Emergencias
The Unidad Militar de Emergencias is a specialized Spanish military force dedicated to rapid response in natural disasters and other civil emergencies, providing protection and relief across the country.
- 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: UAM Triple: [Andersen Air Force Base, IATAcode, UAM]
Generated description
UAM is the IATA airport code for Andersen Air Force Base, a major United States Air Force installation on Guam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UAM Target entity description: UAM is the IATA airport code for Andersen Air Force Base, a major United States Air Force installation on Guam.
-
A.
AMU
The AMU, or Arab Maghreb Union, is a regional organization that promotes economic and political cooperation among North African Maghreb countries.
-
B.
USMIA
USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
-
C.
AMX
AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
-
D.
AMRO
AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
-
E.
Unidad Militar de Emergencias
The Unidad Militar de Emergencias is a specialized Spanish military force dedicated to rapid response in natural disasters and other civil emergencies, providing protection and relief across the country.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea67b7588190be394a56498758b6 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c8ba3304819099db7b60f2c83c8b |
completed | March 1, 2026, 5:03 a.m. |
| NEDg | Description generation | batch_69a3c93ce2308190b2df5c939691a2ce |
completed | March 1, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ca020b7081909b54e311c173ef21 |
completed | March 1, 2026, 5:09 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.