Triple
T8688897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statue of Liberty replica on Île aux Cygnes |
E206234
|
entity |
| Predicate | tabletInscription |
P33759
|
FINISHED |
| Object | IV JUILLET 1776 |
—
|
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: IV JUILLET 1776 | Statement: [Statue of Liberty replica on Île aux Cygnes, tabletInscription, IV JUILLET 1776]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tabletInscription Context triple: [Statue of Liberty replica on Île aux Cygnes, tabletInscription, IV JUILLET 1776]
-
A.
tabletCount
Indicates the number of tablets associated with or allocated to a given entity or context.
-
B.
writingTabletsContent
chosen
Indicates that one or more writing tablets contain or bear a particular written content.
-
C.
tabletContentDivision
Indicates how the content displayed on a tablet device is partitioned or divided into distinct sections or regions.
-
D.
writingTabletsDate
Indicates that one or more writing tablets are associated with a specific date or time period.
-
E.
inscriptionType
Indicates the specific kind or category of inscription associated with an entity (e.g., dedicatory, funerary, commemorative).
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc57334b0c8190903a5a1784e74791 |
completed | March 31, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:33 p.m.