Triple
T14734977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuen Mun |
E346180
|
entity |
| Predicate | developedAsNewTown |
P115568
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Tuen Mun, developedAsNewTown, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedAsNewTown Context triple: [Tuen Mun, developedAsNewTown, 1970s]
-
A.
partOfNewTown
Indicates that an entity is a constituent or included component of a newly established town or urban development.
-
B.
developedAlong
Indicates that something was created, constructed, or evolved following the course, path, or boundary of something else.
-
C.
neighborhoodDeveloped
Indicates that a particular neighborhood has undergone development, such as construction, improvement, or expansion of its infrastructure or buildings.
-
D.
hasNewTown
Indicates that an entity is associated with, or has established, a newly created town.
-
E.
cityDevelopedBeside
Indicates that a city was developed in close proximity to and along the side of a particular geographic feature, settlement, or infrastructure.
- F. None of above. chosen
Provenance (4 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73114cc819088e1101b689fc70b |
completed | April 14, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:29 a.m.