Triple
T5223019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olin Partnership |
E117916
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | OLIN |
E117917
|
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: OLIN | Statement: [Olin Partnership, hasAlternativeName, OLIN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OLIN Context triple: [Olin Partnership, hasAlternativeName, OLIN]
-
A.
OLIN
chosen
OLIN is a prominent landscape architecture and urban design firm known for shaping major public spaces and environmentally responsive projects worldwide.
-
B.
Olson
Olson is a surname most prominently associated in entertainment with American actress and comedian Kaitlin Olson.
-
C.
Ola
Ola is a small urban locality in Russia’s Magadan Oblast, situated in the Russian Far East along the Sea of Okhotsk.
-
D.
Ola
Ola is a major Indian ride-hailing and mobility platform offering cab, auto-rickshaw, and other transportation services via its mobile app.
-
E.
Oliena
Oliena is a historic town in central Sardinia, Italy, known for its traditional Barbagia culture, mountainous landscapes, and renowned Nepente di Oliena wine.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7abba82881908c030ba55146b8ea |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beeff852bc81908467a343c5ded404 |
completed | March 21, 2026, 7:22 p.m. |
Created at: March 20, 2026, 1:48 p.m.