Triple
T15820055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Ballcourt |
E383579
|
entity |
| Predicate | hasReliefProgram |
P14580
|
FINISHED |
| Object | series of narrative panels along the side walls |
—
|
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: series of narrative panels along the side walls | Statement: [South Ballcourt, hasReliefProgram, series of narrative panels along the side walls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReliefProgram Context triple: [South Ballcourt, hasReliefProgram, series of narrative panels along the side walls]
-
A.
hasAidProgram
Indicates that one entity provides or maintains an aid or assistance program for another entity or group.
-
B.
hasRelief
chosen
Indicates that one entity features or exhibits a raised or sculpted surface design (relief) in relation to another entity or context.
-
C.
hasReliefOf
Indicates that one entity features, bears, or is adorned with a sculpted or carved relief representation of another entity.
-
D.
hasReliefEffortFrom
Indicates that a party receives assistance or support through a relief effort provided by another party.
-
E.
welfareProgram
Indicates that an entity is involved in, provides, or is covered by a government or organizational welfare assistance program.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a6e6748190acb0791bd465587f |
completed | April 16, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.