Triple
T12653839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toma |
E302230
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Looma |
E998833
|
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: Looma | Statement: [Toma, hasAlternativeName, Looma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Looma Context triple: [Toma, hasAlternativeName, Looma]
-
A.
Looma
chosen
Looma is an alternative name for Loma, which may refer to various places, peoples, or entities sharing that designation.
-
B.
Lo’ak
Lo’ak is a central Na’vi character in James Cameron’s Avatar film series, known as the rebellious and empathetic son of Jake Sully and Neytiri.
-
C.
Laiolo
Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
-
D.
Oxlumo
Oxlumo is an RNA interference (RNAi) therapeutic used to treat primary hyperoxaluria type 1 by reducing hepatic oxalate production.
-
E.
Lompoc
Lompoc is a small city in California’s Central Coast region known for its proximity to Vandenberg Space Force Base, flower fields, and local wine production.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c730b5c8190ae8dbb476e53729e |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:18 p.m.