Triple
T18673664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SkyCity Entertainment Group |
E456544
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
SKC
SKC is the stock ticker symbol for SkyCity Entertainment Group, a major New Zealand-based casino and entertainment company listed on the NZX.
|
E1337896
|
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: SKC | Statement: [SkyCity Entertainment Group, tickerSymbol, SKC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKC Context triple: [SkyCity Entertainment Group, tickerSymbol, SKC]
-
A.
SKC
SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
-
B.
SKCL
SKCL is the ICAO airport code for Alfonso Bonilla Aragón International Airport, the main international airport serving Cali, Colombia.
-
C.
SKCO
SKCO is the ICAO airport code assigned to La Florida Airport in Colombia.
-
D.
SKO
SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
-
E.
SKO
SKO is the IATA airport code for Sadiq Abubakar III International Airport serving Sokoto, Nigeria.
- 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: SKC Triple: [SkyCity Entertainment Group, tickerSymbol, SKC]
Generated description
SKC is the stock ticker symbol for SkyCity Entertainment Group, a major New Zealand-based casino and entertainment company listed on the NZX.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKC Target entity description: SKC is the stock ticker symbol for SkyCity Entertainment Group, a major New Zealand-based casino and entertainment company listed on the NZX.
-
A.
SKC
SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
-
B.
SKCL
SKCL is the ICAO airport code for Alfonso Bonilla Aragón International Airport, the main international airport serving Cali, Colombia.
-
C.
SKCO
SKCO is the ICAO airport code assigned to La Florida Airport in Colombia.
-
D.
SKO
SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
-
E.
SKO
SKO is the IATA airport code for Sadiq Abubakar III International Airport serving Sokoto, Nigeria.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b41cd881908f37bf7c85e96559 |
completed | April 19, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052351551c8190a37d83e1bfc4ac1e |
completed | May 14, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a0523f354f88190a34b2e6adb809fb3 |
completed | May 14, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0527e23154819087cd70bd40ef39e5 |
completed | May 14, 2026, 1:39 a.m. |
Created at: April 10, 2026, 11:48 a.m.