Triple
T14998338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipistrello lamp |
E374017
|
entity |
| Predicate | firstProduced |
P39672
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Pipistrello lamp, firstProduced, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstProduced Context triple: [Pipistrello lamp, firstProduced, 1960s]
-
A.
firstProducedAt
Indicates the location or context where something was originally created, manufactured, or brought into existence for the first time.
-
B.
firstProducedFor
Indicates that something was initially created, manufactured, or developed specifically for a particular recipient, purpose, or context.
-
C.
firstProduction
Indicates that an entity is the earliest or initial production or manufactured instance associated with another entity.
-
D.
firstProductionAfter
Indicates that one production event occurs immediately after another in a defined sequence or timeline.
-
E.
firstProductionYear
chosen
Indicates the year in which something (such as a product, work, or item) was first produced.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:54 a.m.