Triple
T1025341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Rawash necropolis |
E22126
|
entity |
| Predicate | laterReuse |
P5014
|
FINISHED |
| Object | Ptolemaic period burials |
—
|
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: Ptolemaic period burials | Statement: [Abu Rawash necropolis, laterReuse, Ptolemaic period burials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterReuse Context triple: [Abu Rawash necropolis, laterReuse, Ptolemaic period burials]
-
A.
subsequentUse
chosen
Indicates that one entity is used, applied, or consumed after another entity in time or sequence.
-
B.
keyReuse
Indicates that the same key is used multiple times, rather than being uniquely generated or dedicated for a single use or context.
-
C.
laterUsedBy
Indicates that something is subsequently utilized or employed by a specified entity at a later time.
-
D.
reusability
Indicates that an entity can be used multiple times or in multiple contexts without significant modification or degradation of function.
-
E.
secondStageReusability
Indicates whether the second stage of a launch vehicle is designed to be recovered and reused after flight.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b72619cc8190932fdfa0c74dc055 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.