Triple
T12880101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek National Road 3 |
E308069
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
EO3
EO3 is a major Greek national highway that connects Athens with northern regions of mainland Greece.
|
E1007836
|
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: EO3 | Statement: [Greek National Road 3, hasAbbreviation, EO3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EO3 Context triple: [Greek National Road 3, hasAbbreviation, EO3]
-
A.
OEO
OEO is the acronym for the U.S. federal Office of Economic Opportunity, a 1960s-era agency created to administer anti-poverty programs under President Lyndon B. Johnson’s War on Poverty.
-
B.
EO
EO is the IATA airline designator assigned to Pegas Fly, a Russian passenger airline.
-
C.
OES
OES is the U.S. State Department bureau responsible for advancing American foreign policy on oceans, environment, science, technology, and health issues.
-
D.
O3
O3 is the third observing run of the LIGO–Virgo gravitational-wave detector network, during which numerous gravitational-wave events from compact binary mergers were detected.
-
E.
ÓE
ÓE is the official abbreviation for Óbuda University, a higher education institution in Budapest, Hungary known for its engineering and technical programs.
- 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: EO3 Triple: [Greek National Road 3, hasAbbreviation, EO3]
Generated description
EO3 is a major Greek national highway that connects Athens with northern regions of mainland Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EO3 Target entity description: EO3 is a major Greek national highway that connects Athens with northern regions of mainland Greece.
-
A.
OEO
OEO is the acronym for the U.S. federal Office of Economic Opportunity, a 1960s-era agency created to administer anti-poverty programs under President Lyndon B. Johnson’s War on Poverty.
-
B.
EO
EO is the IATA airline designator assigned to Pegas Fly, a Russian passenger airline.
-
C.
OES
OES is the U.S. State Department bureau responsible for advancing American foreign policy on oceans, environment, science, technology, and health issues.
-
D.
O3
O3 is the third observing run of the LIGO–Virgo gravitational-wave detector network, during which numerous gravitational-wave events from compact binary mergers were detected.
-
E.
ÓE
ÓE is the official abbreviation for Óbuda University, a higher education institution in Budapest, Hungary known for its engineering and technical programs.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fc1e488190a0c48039f6213e62 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bba33c081909c0050ff7b868a8e |
completed | May 3, 2026, 12:50 a.m. |
| NEDg | Description generation | batch_69f69df1032881909255e506ddfd9c9f |
completed | May 3, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69ea645a0819095edc112b9ed9bff |
completed | May 3, 2026, 1:02 a.m. |
Created at: April 9, 2026, 5:39 p.m.