Triple
T16665334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telica |
E404967
|
entity |
| Predicate | monitoredBy |
P752
|
FINISHED |
| Object | INETER |
E424378
|
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: INETER | Statement: [Telica, monitoredBy, INETER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INETER Context triple: [Telica, monitoredBy, INETER]
-
A.
INETER
chosen
INETER is Nicaragua’s national geophysical and meteorological institute responsible for monitoring volcanic, seismic, and other natural hazards across the country.
-
B.
INET
INET is a high-performance electronic trading platform used by stock exchanges such as Nasdaq OMX Stockholm to match and execute securities orders.
-
C.
IP
IP is the acronym for Infraestruturas de Portugal, the Portuguese state-owned company responsible for managing the country’s road and rail infrastructure.
-
D.
IP
IP (Internet Protocol) is the core networking protocol that defines how data is addressed and routed across interconnected computer networks such as the internet.
-
E.
IP
IP is the postcode area in eastern England that covers Ipswich and surrounding parts of Suffolk.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9be0688190afda306cde934c68 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084d21ed4819089fc70f92653694d |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.