Triple
T5948863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worcester Regional Airport |
E132346
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
ORH
ORH is the IATA airport code for Worcester Regional Airport, a public airport serving Worcester, Massachusetts, and the surrounding region.
|
E555406
|
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: ORH | Statement: [Worcester Regional Airport, IATAcode, ORH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORH Context triple: [Worcester Regional Airport, IATAcode, ORH]
-
A.
ORR
ORR is the independent regulator and competition authority for Britain’s railways and the monitor of National Highways in England.
-
B.
HOR
HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
-
C.
HOR
HOR is the National Rail station code for Horley railway station in Surrey, England.
-
D.
OSRH
OSRH is the official abbreviation for the Armed Forces of the Republic of Croatia, encompassing the country's army, navy, and air force.
-
E.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
- 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: ORH Triple: [Worcester Regional Airport, IATAcode, ORH]
Generated description
ORH is the IATA airport code for Worcester Regional Airport, a public airport serving Worcester, Massachusetts, and the surrounding region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ORH Target entity description: ORH is the IATA airport code for Worcester Regional Airport, a public airport serving Worcester, Massachusetts, and the surrounding region.
-
A.
ORR
ORR is the independent regulator and competition authority for Britain’s railways and the monitor of National Highways in England.
-
B.
HOR
HOR is the IATA airport code for Horta Airport, which serves the island of Faial in Portugal’s Azores archipelago.
-
C.
HOR
HOR is the National Rail station code for Horley railway station in Surrey, England.
-
D.
OSRH
OSRH is the official abbreviation for the Armed Forces of the Republic of Croatia, encompassing the country's army, navy, and air force.
-
E.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
- 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.