Triple
T23778106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suleiman al-Halabi |
E587732
|
entity |
| Predicate | bodyPartPreserved |
P124914
|
FINISHED |
| Object | skull |
—
|
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: skull | Statement: [Suleiman al-Halabi, bodyPartPreserved, skull]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyPartPreserved Context triple: [Suleiman al-Halabi, bodyPartPreserved, skull]
-
A.
preservedPart
chosen
Indicates that one entity is a remaining or conserved portion of another entity that has been kept intact over time.
-
B.
bodyPartPresentedTo
Indicates that one entity intentionally exposes or offers a specific body part to another entity as the focus of an interaction or action.
-
C.
bodyPartFound
Indicates that a specific body part has been discovered or identified in a particular context or location.
-
D.
bodyPartDescription
Indicates that one entity provides a descriptive characterization or details about a specific body part of another entity.
-
E.
partiallyPreserved
Indicates that the referenced entity or object is only incompletely intact, with some parts missing, damaged, or lost while others remain.
- 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c629f0c08190baccce71ebc72650 |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:16 p.m.