Triple
T16433718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liver Bird |
E399129
|
entity |
| Predicate | heightOfFamousStatue |
P1724
|
FINISHED |
| Object | about 5.5 metres (Royal Liver Building birds) |
—
|
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 5.5 metres (Royal Liver Building birds) | Statement: [Liver Bird, heightOfFamousStatue, about 5.5 metres (Royal Liver Building birds)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfFamousStatue Context triple: [Liver Bird, heightOfFamousStatue, about 5.5 metres (Royal Liver Building birds)]
-
A.
statueHeight
chosen
Indicates the height measurement of a statue in some specified unit.
-
B.
statueWeight
Indicates that a statue has a specific weight or mass.
-
C.
statueName
Indicates that a statue has a specific name or title associated with it.
-
D.
sculptorOfFrontStatue
Indicates that one entity is the sculptor who created the statue located at the front of another entity (such as a building or site).
-
E.
topStatue
Indicates that one entity is positioned as a statue on top of another entity.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba01a1c8190b5a4700e2364ae63 |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.