Triple
T13802091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zynga |
E331665
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
ZNGA
ZNGA is the stock ticker symbol for Zynga Inc., a company best known for developing popular social and mobile games such as FarmVille and Words With Friends.
|
E1062226
|
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: ZNGA | Statement: [Zynga, tickerSymbol, ZNGA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZNGA Context triple: [Zynga, tickerSymbol, ZNGA]
-
A.
ZNG
ZNG is the three-letter station code used to identify Notting Hill Gate Underground station on the London Underground network.
-
B.
ZG
ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
-
C.
ZNA
ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
-
D.
ZAG
ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
-
E.
ZAG
ZAG is the three-letter IATA airport code for Zagreb Franjo Tuđman Airport, the main international airport serving Croatia’s capital city, Zagreb.
- 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: ZNGA Triple: [Zynga, tickerSymbol, ZNGA]
Generated description
ZNGA is the stock ticker symbol for Zynga Inc., a company best known for developing popular social and mobile games such as FarmVille and Words With Friends.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZNGA Target entity description: ZNGA is the stock ticker symbol for Zynga Inc., a company best known for developing popular social and mobile games such as FarmVille and Words With Friends.
-
A.
ZNG
ZNG is the three-letter station code used to identify Notting Hill Gate Underground station on the London Underground network.
-
B.
ZG
ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
-
C.
ZNA
ZNA is the IATA airport code for Nanaimo Harbour Water Airport, a seaplane facility serving Nanaimo, British Columbia, Canada.
-
D.
ZAG
ZAG is the three-letter IATA airport code for Zagreb Franjo Tuđman Airport, the main international airport serving Croatia’s capital city, Zagreb.
-
E.
ZAG
ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08bd7c48190bcdf110ccd27c003 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b25c9e5881909d526b38096d6446 |
completed | May 3, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b2f1b3848190bc30537d5092ee07 |
completed | May 3, 2026, 8:41 p.m. |
Created at: April 9, 2026, 10:12 p.m.