Triple
T11336430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEGOB |
E268481
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | SEGOB |
E268481
|
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: SEGOB | Statement: [SEGOB, hasAbbreviation, SEGOB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEGOB Context triple: [SEGOB, hasAbbreviation, SEGOB]
-
A.
SEGOB
chosen
SEGOB is the Mexican federal government ministry responsible for internal affairs, domestic policy, and governance.
-
B.
SEGU
SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
-
C.
SEGOT
SEGOT is the UN/LOCODE identifier for the Port of Gothenburg, Sweden’s largest seaport and a major logistics hub in Northern Europe.
-
D.
Sego
Sego is the NATO reporting name for the Soviet SS-11, an early cold-war era ground-launched anti-tank guided missile system.
-
E.
SanSe
SanSe is a vibrant annual street festival held in Old San Juan, Puerto Rico, known for its live music, parades, artisans, and celebration of Puerto Rican culture.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9ff62c88190a089dd84e2ac1d17 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5432abfd081909d1bbf6460643fb9 |
completed | April 19, 2026, 9:03 p.m. |
Created at: April 8, 2026, 9:33 p.m.