Triple
T5567533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | POMA |
E145914
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | POMA |
E145914
|
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: POMA | Statement: [POMA, abbreviation, POMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: POMA Context triple: [POMA, abbreviation, POMA]
-
A.
POMA
chosen
POMA is a scholarly journal and conference proceedings series published by the Acoustical Society of America that disseminates research presented at acoustics meetings.
-
B.
PUM
PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
-
C.
Poqomam
Poqomam is a Mayan language spoken primarily in Guatemala by the Poqomam Maya people, known for its rich oral traditions and complex grammatical structure.
-
D.
Premo
Premo is the nickname of DJ Premier, a highly influential American hip-hop producer and DJ known for his gritty, sample-based boom-bap sound.
-
E.
Poga
Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0203631c881908978d51e99155014 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c028485ba081908565f7f852278cfc |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:36 p.m.