Triple
T2301211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statue of Liberty National Monument |
E51734
|
entity |
| Predicate | hasTotalHeight |
P8271
|
FINISHED |
| Object | 93 meters (ground to torch) |
—
|
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: 93 meters (ground to torch) | Statement: [Statue of Liberty National Monument, hasTotalHeight, 93 meters (ground to torch)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTotalHeight Context triple: [Statue of Liberty National Monument, hasTotalHeight, 93 meters (ground to torch)]
-
A.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
B.
totalHeight
chosen
Indicates the combined vertical measurement resulting from adding the heights of one or more entities.
-
C.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
-
D.
currentHeight
Indicates the present vertical measurement or elevation of an entity at a given point in time.
-
E.
typicalHeight
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcbabf01081908db3b42bc7c60444 |
completed | March 7, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69abc58ad33c8190b8d68af41b6f5e07 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.