Triple
T28795894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cột cờ Hà Nội |
E727084
|
entity |
| Predicate | heightWithFlag |
P8985
|
FINISHED |
| Object | about 41 metres |
—
|
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: about 41 metres | Statement: [Cột cờ Hà Nội, heightWithFlag, about 41 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightWithFlag Context triple: [Cột cờ Hà Nội, heightWithFlag, about 41 metres]
-
A.
flagpoleHeight
chosen
Indicates the height measurement of a flagpole relative to a specified reference (such as ground level).
-
B.
flagDimensions
Indicates the specific measurements (such as height, width, or aspect ratio) that define the size of a flag.
-
C.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
D.
heightOptions
Indicates the available or specified height choices associated with an entity or configuration.
-
E.
heightContext
Indicates a contextual or situational relationship that specifies how an entity’s height is defined, measured, or interpreted in a particular setting or frame of reference.
- 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 6:25 a.m.