Triple
T14387643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project Object Model |
E356766
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | POM |
E1031911
|
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: POM | Statement: [Project Object Model, alsoKnownAs, POM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: POM Context triple: [Project Object Model, alsoKnownAs, POM]
-
A.
POM
chosen
POM is the IATA airport code for Jacksons International Airport, the main international gateway to Port Moresby and Papua New Guinea.
-
B.
POMA
POMA is a scholarly journal and conference proceedings series published by the Acoustical Society of America that disseminates research presented at acoustics meetings.
-
C.
Pom
Pom is the first name of Pom Klementieff, a French actress best known for playing Mantis in the Marvel Cinematic Universe.
-
D.
PUM
PUM is the stock ticker symbol for Puma, the German multinational sportswear and athletic footwear company.
-
E.
Poms
Poms is a 2019 comedy film about a group of women in a retirement community who form a cheerleading squad, starring Rhea Perlman among its ensemble cast.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90283b9c8190b50d30ad58bfe085 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551623608190ba1de09b423cc5e1 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.