Triple
T13687276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tercio de Armada |
E328163
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | TEAR |
E1054453
|
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: TEAR | Statement: [Tercio de Armada, hasAlternativeName, TEAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TEAR Context triple: [Tercio de Armada, hasAlternativeName, TEAR]
-
A.
TEAR
chosen
TEAR is the abbreviation for the Spanish Navy’s Tercio de Armada, an elite marine infantry force specializing in amphibious and expeditionary operations.
-
B.
Tears
"Tears" is a 1937 jazz composition co-written and recorded by pioneering gypsy jazz guitarist Django Reinhardt, known for its lyrical melody and prominent place in his repertoire.
-
C.
Tearz
"Tearz" is a track by the Wu-Tang Clan from their influential debut album "Enter the Wu-Tang (36 Chambers)," known for its raw storytelling and emotional depth.
-
D.
Tears of Joy
"Tears of Joy" is a song featured on the country album "Western Wall: The Tucson Sessions" by Linda Ronstadt and Emmylou Harris.
-
E.
Teary Eyes
"Teary Eyes" is a dance-pop song by American singer Kesha from her 2020 album "High Road," known for pairing emotional lyrics about heartbreak with an upbeat, club-ready production.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d4c52fc8190a93d05c24a8d1513 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:53 p.m.