Triple
T3263788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongzhimen station |
E68474
|
entity |
| Predicate | openingDate_Line2 |
P46953
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [Dongzhimen station, openingDate_Line2, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingDate_Line2 Context triple: [Dongzhimen station, openingDate_Line2, 1984]
-
A.
openingDateLine16
Indicates the date on which line 16 was officially opened or began operation.
-
B.
line3OpeningDate
Indicates the calendar date on which the third line (e.g., a route, service line, or similar system component) was officially opened or began operation.
-
C.
openingDatePhase2
Indicates the date on which the second phase of a project, process, or facility is scheduled to begin or officially open.
-
D.
line5OpeningDate
Indicates the date on which line 5 was first opened or began operation.
-
E.
line4OpeningDate
Indicates the date on which the fourth line (e.g., of a transit system or network) was officially opened or began operation.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafaa35e48190b894ca41dd65932b |
completed | March 8, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.