Triple
T14280372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thermon |
E354028
|
entity |
| Predicate | hasMaterialRemains |
P16216
|
FINISHED |
| Object | temple foundations |
—
|
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: temple foundations | Statement: [Thermon, hasMaterialRemains, temple foundations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaterialRemains Context triple: [Thermon, hasMaterialRemains, temple foundations]
-
A.
hasRemainsOf
chosen
Indicates that one entity physically contains, preserves, or is associated with the leftover physical traces or remnants of another entity.
-
B.
hasMaterialResource
Indicates that an entity possesses, controls, or has access to a tangible material resource.
-
C.
hasMaterialOption
Indicates that an entity can be made from, or is available in, one or more alternative materials.
-
D.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
E.
hasBankMaterial
Indicates that something is made of, or incorporates, a specified banking-related material or substance.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697b5e8081908e5b91a3a1c55df9 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.