Triple
T23469244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombo–Katunayake Expressway |
E569180
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
E03
E03 is a major controlled-access expressway in Sri Lanka that connects the capital city Colombo with Bandaranaike International Airport at Katunayake.
|
E1589553
|
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: E03 | Statement: [Colombo–Katunayake Expressway, alsoKnownAs, E03]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E03 Context triple: [Colombo–Katunayake Expressway, alsoKnownAs, E03]
-
A.
#E3
#E3 is the widely used social media hashtag associated with the Electronic Entertainment Expo, a major annual video game industry trade event.
-
B.
3O
3O is the IATA airline designator assigned to Air Arabia Maroc, a Moroccan low-cost carrier.
-
C.
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.
-
D.
E-3
E-3 is a U.S. Air Force airborne warning and control system (AWACS) aircraft based on the Boeing 707 airframe, used for long-range surveillance, command, and control.
-
E.
EO3
EO3 is a major Greek national highway that connects Athens with northern regions of mainland Greece.
- 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: E03 Triple: [Colombo–Katunayake Expressway, alsoKnownAs, E03]
Generated description
E03 is a major controlled-access expressway in Sri Lanka that connects the capital city Colombo with Bandaranaike International Airport at Katunayake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E03 Target entity description: E03 is a major controlled-access expressway in Sri Lanka that connects the capital city Colombo with Bandaranaike International Airport at Katunayake.
-
A.
#E3
#E3 is the widely used social media hashtag associated with the Electronic Entertainment Expo, a major annual video game industry trade event.
-
B.
3O
3O is the IATA airline designator assigned to Air Arabia Maroc, a Moroccan low-cost carrier.
-
C.
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.
-
D.
E-3
E-3 is a U.S. Air Force airborne warning and control system (AWACS) aircraft based on the Boeing 707 airframe, used for long-range surveillance, command, and control.
-
E.
EO3
EO3 is a major Greek national highway that connects Athens with northern regions of mainland Greece.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6feb5688190ad4ce42fc9590adb |
completed | April 29, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8256ede08190a95e0074245e9eff |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6efb0d88190bf15b18cc3f12482 |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca80db6288190ae99313c1f2485db |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 5:54 p.m.