Triple
T37181921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HarbourFront MRT station |
E921213
|
entity |
| Predicate | circleLineOpeningDate |
P168057
|
FINISHED |
| Object | 8 October 2011 |
—
|
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: 8 October 2011 | Statement: [HarbourFront MRT station, circleLineOpeningDate, 8 October 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circleLineOpeningDate Context triple: [HarbourFront MRT station, circleLineOpeningDate, 8 October 2011]
-
A.
lineDOpeningDate
Indicates the date on which a specific line D was officially opened or began operation.
-
B.
openedForCircleLine
chosen
Indicates that something (such as a station, section, or facility) was opened specifically for use by the Circle Line.
-
C.
openingDateLineC
Indicates the calendar date on which entity C is opened, initiated, or begins operation.
-
D.
purpleLineOpeningDate
Indicates the date on which the Purple Line officially began operation or service.
-
E.
lineBOpeningDate
Indicates the date on which line B was officially opened or began operation.
- 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_69f76ea250bc819083f28d81de25cd0c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.