Triple
T5948864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worcester Regional Airport |
E132346
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KORH
KORH is the ICAO airport code for Worcester Regional Airport, a public airport serving Worcester, Massachusetts, in the United States.
|
E555407
|
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: KORH | Statement: [Worcester Regional Airport, ICAOcode, KORH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KORH Context triple: [Worcester Regional Airport, ICAOcode, KORH]
-
A.
KORL
KORL is the ICAO airport code for Orlando Executive Airport, a public airport serving the Orlando, Florida area.
-
B.
KRH
KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
-
C.
KKH
KKH is the abbreviation for the Karakoram Highway, a major high-altitude road linking Pakistan and China through the Karakoram mountain range.
-
D.
kora
The kora is a West African 21-string harp-lute traditionally played by griots and widely associated with the musical heritage of Mali.
-
E.
KHC
KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
- 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: KORH Triple: [Worcester Regional Airport, ICAOcode, KORH]
Generated description
KORH is the ICAO airport code for Worcester Regional Airport, a public airport serving Worcester, Massachusetts, in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KORH Target entity description: KORH is the ICAO airport code for Worcester Regional Airport, a public airport serving Worcester, Massachusetts, in the United States.
-
A.
KORL
KORL is the ICAO airport code for Orlando Executive Airport, a public airport serving the Orlando, Florida area.
-
B.
KRH
KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
-
C.
KKH
KKH is the abbreviation for the Karakoram Highway, a major high-altitude road linking Pakistan and China through the Karakoram mountain range.
-
D.
kora
The kora is a West African 21-string harp-lute traditionally played by griots and widely associated with the musical heritage of Mali.
-
E.
KHC
KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0397deea08190b9397d0413740300 |
completed | March 22, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c08d4f0481908547609bc2736380 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c1977ac481908e549f9951405a46 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c20724608190aaf7cb8e03999f0d |
completed | March 23, 2026, 4:31 a.m. |
Created at: March 22, 2026, 4:01 p.m.