Triple
T3638010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taipei Songshan Airport |
E77117
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
RCSS
RCSS is the ICAO airport code for Taipei Songshan Airport, a major domestic and regional airport serving Taipei, Taiwan.
|
E376173
|
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: RCSS | Statement: [Taipei Songshan Airport, ICAOcode, RCSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RCSS Context triple: [Taipei Songshan Airport, ICAOcode, RCSS]
-
A.
RCSC
RCSC is the commonly used abbreviation for the Superior Court of California serving Riverside County, a trial court in the state’s judicial system.
-
B.
C.Ss.R.
C.Ss.R. is the post-nominal abbreviation for the Congregation of the Most Holy Redeemer, commonly known as the Redemptorists, a Catholic religious order founded by Saint Alphonsus Liguori.
-
C.
RCG
RCG is the abbreviated name for RCG Productions, a media production company.
-
D.
CSG
CSG is the commonly used abbreviation for the Guiana Space Centre, a major European spaceport located in French Guiana.
-
E.
RSL
RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
- 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: RCSS Triple: [Taipei Songshan Airport, ICAOcode, RCSS]
Generated description
RCSS is the ICAO airport code for Taipei Songshan Airport, a major domestic and regional airport serving Taipei, Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RCSS Target entity description: RCSS is the ICAO airport code for Taipei Songshan Airport, a major domestic and regional airport serving Taipei, Taiwan.
-
A.
RCSC
RCSC is the commonly used abbreviation for the Superior Court of California serving Riverside County, a trial court in the state’s judicial system.
-
B.
C.Ss.R.
C.Ss.R. is the post-nominal abbreviation for the Congregation of the Most Holy Redeemer, commonly known as the Redemptorists, a Catholic religious order founded by Saint Alphonsus Liguori.
-
C.
RCG
RCG is the abbreviated name for RCG Productions, a media production company.
-
D.
CSG
CSG is the commonly used abbreviation for the Guiana Space Centre, a major European spaceport located in French Guiana.
-
E.
RSL
RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc328e5e481909d26318c743bc84a |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f23298481909d313d6b3f8013cd |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b450785378819090b4ed7536db7757 |
completed | March 13, 2026, 5:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45a0afef8819097c6e87127b4d1db |
completed | March 13, 2026, 6:40 p.m. |
Created at: March 8, 2026, 3:24 p.m.