Triple
T31882030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lachish Letters |
E813906
|
entity |
| Predicate | numberOfKnownOstraca |
P203282
|
FINISHED |
| Object | approximately 18 |
—
|
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: approximately 18 | Statement: [Lachish Letters, numberOfKnownOstraca, approximately 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfKnownOstraca Context triple: [Lachish Letters, numberOfKnownOstraca, approximately 18]
-
A.
numberOfStelae
Indicates the quantity of stelae associated with a given entity or context.
-
B.
numberOfIndividualGeoglyphsApprox
Indicates an approximate count of distinct individual geoglyphs associated with a given subject.
-
C.
PyrgiTabletsMaterial
Indicates that something is made of, or composed from, the material used for the Pyrgi Tablets.
-
D.
numberOfInscriptions
Indicates the total count of inscriptions associated with a given entity or object.
-
E.
numberOfScribes
Indicates the quantity of scribes associated with a given entity or context.
- 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_69f348ed74bc81909846aaa6a3c7318c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0149447e448190b0480943de0691ee |
completed | May 11, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_6a0148e2c39c8190a3ad6ea6be902c04 |
completed | May 11, 2026, 3:11 a.m. |
| PDg | Predicate description generation | batch_6a014943b7d481909fa2c1c3f176db24 |
completed | May 11, 2026, 3:13 a.m. |
Created at: April 30, 2026, 11:56 p.m.