Triple
T27353021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Valley |
E685612
|
entity |
| Predicate | hasJyutpingName |
P52960
|
FINISHED |
| Object |
paau2 maa5 dei6
paau2 maa5 dei6 is the Cantonese Jyutping name for Happy Valley, a residential and entertainment district on Hong Kong Island known for its famous racecourse.
|
E1769002
|
NE FINISHED |
How this triple was built (3 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: paau2 maa5 dei6 | Statement: [Happy Valley, hasJyutpingName, paau2 maa5 dei6]
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: paau2 maa5 dei6 Triple: [Happy Valley, hasJyutpingName, paau2 maa5 dei6]
Generated description
paau2 maa5 dei6 is the Cantonese Jyutping name for Happy Valley, a residential and entertainment district on Hong Kong Island known for its famous racecourse.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJyutpingName Context triple: [Happy Valley, hasJyutpingName, paau2 maa5 dei6]
-
A.
hasNameInKanji
Indicates that an entity is associated with a specific written form of its name in Kanji characters.
-
B.
hasNameInJapanese
Indicates that an entity is associated with a specific name expressed in the Japanese language.
-
C.
hasHangulName
Indicates that an entity is associated with a name written in the Korean Hangul script.
-
D.
hasJavaneseName
Indicates that an entity possesses a name expressed in the Javanese language.
-
E.
cantoneseJyutping
chosen
Indicates that an entity’s name or term is represented using the Cantonese Jyutping romanization system.
- F. None of above.
Provenance (6 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62c1b91e881908798e4f00723efcb |
completed | May 2, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12a7d4786c8190881df8e944b7f868 |
completed | May 24, 2026, 7:25 a.m. |
| NEDg | Description generation | batch_6a12a8b8ec608190846c55dabeec801a |
completed | May 24, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12a951f04881909419d5b9d41d5c79 |
completed | May 24, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:49 a.m.