Triple
T9361507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoshanot |
E225284
|
entity |
| Predicate | performedStanding |
P88142
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hoshanot, performedStanding, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedStanding Context triple: [Hoshanot, performedStanding, true]
-
A.
performedStandUpIn
Indicates that an entity conducted or participated in a stand-up performance or show at a specific location or venue.
-
B.
performedStandUpOn
Indicates that one entity conducted or participated in a stand-up meeting on a specific date or occasion with respect to another entity.
-
C.
performedTo
Indicates that an action or performance is directed toward or carried out on a particular entity.
-
D.
performed
Indicates that an entity carried out, executed, or conducted a specific action, task, or activity.
-
E.
performedWith
Indicates that an action or activity is carried out using, accompanied by, or in conjunction with a specified entity or instrument.
- F. None of above. chosen
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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4ff4268c819099dd5fe79d93e7ea |
completed | April 1, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:42 p.m.