Triple
T7155054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PREMIS |
E166786
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | MODS |
E166785
|
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: MODS | Statement: [PREMIS, compatibleWith, MODS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MODS Context triple: [PREMIS, compatibleWith, MODS]
-
A.
MODS
chosen
MODS (Metadata Object Description Schema) is a bibliographic metadata standard developed by the Library of Congress that provides a rich, XML-based format for describing digital and print resources.
-
B.
MOD
MOD is the commonly used abbreviation for the United Kingdom’s Ministry of Defence, the government department responsible for implementing defense policy and overseeing the armed forces.
-
C.
MOD
MOD is the commonly used abbreviation for Japan’s Ministry of Defense, the government body responsible for the country’s national defense and Self-Defense Forces.
-
D.
MOD
MOD is the three-letter FAA airport code for Modesto City–County Airport in Modesto, California.
-
E.
MDV
MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80c747c8190a017a2b1c3e78a3f |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adb0ea288190b7eef76de30a3a1e |
completed | March 28, 2026, 10:30 a.m. |
Created at: March 27, 2026, 2:47 p.m.