Triple
T10621007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GUA |
E250201
|
entity |
| Predicate | distinctFrom |
P1612
|
FINISHED |
| Object | GTM |
E84174
|
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: GTM | Statement: [GUA, distinctFrom, GTM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GTM Context triple: [GUA, distinctFrom, GTM]
-
A.
GTM
chosen
GTM is the three-letter ISO 3166-1 alpha-3 country code assigned to Guatemala.
-
B.
GTM
GTM was a former name of Vinci, the major French concessions and construction company involved in large-scale infrastructure projects worldwide.
-
C.
Google Tag Manager
Google Tag Manager is a tag management system that lets marketers and developers easily add, update, and manage tracking and analytics tags on websites and apps without modifying the underlying code directly.
-
D.
GTC
GTC is a Polish vehicle registration code assigned to a specific county within the Pomeranian Voivodeship.
-
E.
ATG
ATG is the three-letter ISO 3166-1 alpha-3 country code assigned to Antigua and Barbuda.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df70b0288190bf6edd705632ff02 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b908e788190bc9e4f327e871a7f |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:49 p.m.