Triple
T14643995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hualien Air Base |
E343796
|
entity |
| Predicate | hasICAOcode |
P419
|
FINISHED |
| Object |
RCYU
RCYU is the ICAO airport code assigned to Hualien Air Base in Hualien, Taiwan.
|
E1111497
|
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: RCYU | Statement: [Hualien Air Base, hasICAOcode, RCYU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RCYU Context triple: [Hualien Air Base, hasICAOcode, RCYU]
-
A.
RCY
RCY is the station code for Redwood City Station, a Caltrain commuter rail stop in Redwood City, California.
-
B.
REN
REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
-
C.
RK
RK is the vehicle registration code used for motor vehicles registered in the Rychnov nad Kněžnou District of the Czech Republic.
-
D.
RK
RK is the commonly used abbreviation for the Riigikogu, the unicameral national parliament of Estonia.
-
E.
RK
RK is the regional vehicle registration code used on car license plates issued in Krosno, a city in southeastern Poland.
- 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: RCYU Triple: [Hualien Air Base, hasICAOcode, RCYU]
Generated description
RCYU is the ICAO airport code assigned to Hualien Air Base in Hualien, Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RCYU Target entity description: RCYU is the ICAO airport code assigned to Hualien Air Base in Hualien, Taiwan.
-
A.
RCY
RCY is the station code for Redwood City Station, a Caltrain commuter rail stop in Redwood City, California.
-
B.
REN
REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
-
C.
RK
RK is the commonly used abbreviation for the Riigikogu, the unicameral national parliament of Estonia.
-
D.
RK
RK is the regional vehicle registration code used on car license plates issued in Krosno, a city in southeastern Poland.
-
E.
RK
RK is the vehicle registration code used for motor vehicles registered in the Rychnov nad Kněžnou District of the Czech Republic.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ea6d8481908e6331ca173c646b |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d5d05481908dbb23392c05d23b |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd74cc4048190bae5f75d922c9618 |
completed | May 8, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd7bd20748190b9145ef14ce2759b |
completed | May 8, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:26 a.m.