Triple
T8402475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langer Eugen |
E198406
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | UNV |
E121492
|
NE 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: UNV | Statement: [Langer Eugen, usedBy, UNV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNV Context triple: [Langer Eugen, usedBy, UNV]
-
A.
UNV
chosen
UNV is the United Nations Volunteers programme, which mobilizes volunteers worldwide to support peace and development efforts under the UN system.
-
B.
UNLU
UNLU is the acronym for the Unified National Leadership of the Uprising, a coordinating body of Palestinian factions that directed much of the first Intifada against Israeli occupation in the late 1980s.
-
C.
UNOV
UNOV is one of the main United Nations headquarters, located in Vienna, Austria, hosting various UN offices and agencies focused on issues such as drugs and crime, outer space affairs, and industrial development.
-
D.
UNA
UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
-
E.
UNA
UNA is a public university located in Florence, Alabama, known for its regional academic programs and historic campus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb824efa5c81908ce816cdb8e1fcfb |
completed | March 31, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02ece0a88190bf64abaa8d202de3 |
completed | April 2, 2026, 5:47 a.m. |
Created at: March 30, 2026, 6:04 p.m.