Triple
T33796308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taikoo Shing |
E866082
|
entity |
| Predicate | associatedWithIndustryHistory |
P3008
|
FINISHED |
| Object | shipbuilding in Hong Kong |
—
|
LITERAL FINISHED |
How this triple was built (2 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: shipbuilding in Hong Kong | Statement: [Taikoo Shing, associatedWithIndustryHistory, shipbuilding in Hong Kong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithIndustryHistory Context triple: [Taikoo Shing, associatedWithIndustryHistory, shipbuilding in Hong Kong]
-
A.
hasHistoricIndustry
chosen
Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
-
B.
historicallyLinked
Indicates that two entities are connected through a shared or related historical event, period, or development.
-
C.
hasIndustrialHeritage
Indicates that an entity possesses or is associated with historically significant industrial sites, structures, or practices.
-
D.
associatedWithCityHistory
Indicates a relationship where something is connected or relevant to the historical events, development, or heritage of a particular city.
-
E.
associatedWithMilitaryHistory
Indicates a relationship in which something is connected or relevant to military history, such as events, figures, institutions, or artifacts.
- F. None of above.
Provenance (3 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:46 a.m.