Triple
T37842742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamehameha Day |
E943520
|
entity |
| Predicate | hasStatueLocation |
P1646
|
FINISHED |
| Object | Aliiolani Hale, Honolulu |
E122882
|
NE 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: Aliiolani Hale, Honolulu | Statement: [Kamehameha Day, hasStatueLocation, Aliiolani Hale, Honolulu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatueLocation Context triple: [Kamehameha Day, hasStatueLocation, Aliiolani Hale, Honolulu]
-
A.
hasStatue
chosen
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
B.
hasStatueOrigin
Indicates that a statue was created in, derived from, or originally located in a specified place or source.
-
C.
positionOfStatue
Indicates the spatial location where a statue is situated or placed.
-
D.
hasStatueHeightCharacteristic
Indicates that an entity possesses a specific height-related characteristic or attribute of a statue.
-
E.
hasStatueNickname
Indicates that an entity (typically a statue) is known or referred to by a particular nickname.
- F. None of above.
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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a009d623f6c8190b702e2892c52fbb2 |
completed | May 10, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40fb8daab081908a5a1756b427c18c |
completed | June 28, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_6a009a3050d48190b64567f28e6ea463 |
completed | May 10, 2026, 2:46 p.m. |
Created at: May 3, 2026, 4:19 p.m.