Triple
T5359622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concepción Province |
E102986
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object | Tomé |
E422378
|
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: Tomé | Statement: [Concepción Province, containsCommune, Tomé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomé Context triple: [Concepción Province, containsCommune, Tomé]
-
A.
Tomé
chosen
Tomé is a coastal commune and city in Chile’s Biobío Region, known for its textile industry, fishing activities, and beaches.
-
B.
Tomas
Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
-
C.
Tomis
Tomis was an ancient Greek and later Roman city on the Black Sea coast, in present-day Constanța, Romania, best known as the remote outpost where the poet Ovid was exiled by Emperor Augustus.
-
D.
Timoteo
Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
-
E.
Tomasino
Tomasino is the colloquial term used to refer to students of the University of Santo Tomas in the Philippines.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd86330e4c8190b5452226886287b3 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf291c89c8819084b9305c3bddc3c0 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:02 p.m.