Triple
T2304616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dabolim Airport |
E51808
|
entity |
| Predicate | hasNavigationAid |
P8170
|
FINISHED |
| Object |
DME
DME is a radio navigation system used in aviation to provide pilots with precise distance information from an aircraft to a ground-based station.
|
E254308
|
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: DME | Statement: [Dabolim Airport, hasNavigationAid, DME]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DME Context triple: [Dabolim Airport, hasNavigationAid, DME]
-
A.
DME
DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
-
B.
DHE
DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
-
C.
MDE
MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
-
D.
DDM
DDM was the ISO 4217 currency code for the East German mark, the official currency of the former German Democratic Republic.
-
E.
BdM
BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
- 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: DME Triple: [Dabolim Airport, hasNavigationAid, DME]
Generated description
DME is a radio navigation system used in aviation to provide pilots with precise distance information from an aircraft to a ground-based station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DME Target entity description: DME is a radio navigation system used in aviation to provide pilots with precise distance information from an aircraft to a ground-based station.
-
A.
DME
DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
-
B.
DHE
DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
-
C.
MDE
MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
-
D.
DDM
DDM was the ISO 4217 currency code for the East German mark, the official currency of the former German Democratic Republic.
-
E.
BdM
BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5f2de7c819095bd74a551d8ff18 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f3579248190829a07fe508d72a7 |
completed | March 9, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_69ae82e0611c8190a8b44e97bb34194f |
completed | March 9, 2026, 8:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae83f4369c8190b956f9d37ca31d1d |
completed | March 9, 2026, 8:25 a.m. |
Created at: March 4, 2026, 7:49 p.m.