Triple
T10433305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battir |
E245971
|
entity |
| Predicate | timePeriodOfTerraces |
P58977
|
FINISHED |
| Object | antiquity |
—
|
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: antiquity | Statement: [Battir, timePeriodOfTerraces, antiquity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfTerraces Context triple: [Battir, timePeriodOfTerraces, antiquity]
-
A.
hasTerracesFromPeriod
chosen
Indicates that an entity possesses terraces that were constructed or are associated with a specific historical or chronological period.
-
B.
numberOfTerraces
Indicates the total count of terraces associated with a given entity.
-
C.
timePeriodOfEarlierOccupation
Indicates that one entity specifies the time span during which another entity was previously occupied or held a position before a later occupation.
-
D.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
-
E.
timePeriodOfBurials
Indicates the span of time during which the burials associated with an entity took place.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea65afe08190b91260c9267a0f14 |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfbc546881908f312c66ee195f79 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:14 p.m.