Triple
T18794682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2318.HK |
E459600
|
entity |
| Predicate | tradingLot |
P133045
|
FINISHED |
| Object | board lot system |
—
|
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: board lot system | Statement: [2318.HK, tradingLot, board lot system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradingLot Context triple: [2318.HK, tradingLot, board lot system]
-
A.
tradingLotUnit
Indicates the standard unit or quantity in which an asset or security is grouped and traded as a single lot.
-
B.
hasLotSize
Indicates that an entity possesses a specific amount or extent of physical area, typically referring to the size of a parcel of land or property lot.
-
C.
hasLotSizeType
Indicates the classification or category used to describe the size of a lot or parcel.
-
D.
marginTrading
Indicates engaging in trading activities using borrowed funds or leverage, typically by using existing assets as collateral.
-
E.
hasNumberOfTradersApproximate
Indicates an approximate or estimated count of traders associated with an entity.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a01dbb308190bbbbd5a18e26451e |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:53 a.m.